diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 2a01780..6aef188 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -19,7 +19,8 @@ "extensions": [ "timonwong.shellcheck", "GitHub.vscode-pull-request-github", - "charliermarsh.ruff" + "charliermarsh.ruff", + "ms-python.black-formatter" ] } }, diff --git a/.env.template b/.env.template index 4592aea..45ed56e 100644 --- a/.env.template +++ b/.env.template @@ -5,8 +5,10 @@ USER= PGHOST= POSTGRES_PASSWORD= PGPASSWORD= +PGDATA= OPENAI_API_KEY= -AZURE_OPENAI_SERVICE= +OPENAI_ENDPOINT= +OPENAI_API_ENGINE= LOUIS_SCHEMA= DB_SERVER_CONTAINER_NAME= -PGDATA= +FINESSE_WEIGHTS= diff --git a/.github/workflows/pull-request.yml b/.github/workflows/pull-request.yml index 63c352d..4da8ece 100644 --- a/.github/workflows/pull-request.yml +++ b/.github/workflows/pull-request.yml @@ -14,7 +14,7 @@ jobs: secrets: inherit build: - # if: github.ref == 'refs/heads/main' + if: github.ref == 'refs/heads/main' needs: lint-test uses: ai-cfia/github-workflows/.github/workflows/workflow-build-container.yml@main with: @@ -23,7 +23,7 @@ jobs: secrets: inherit deploy: - # if: github.ref == 'refs/heads/main' + if: github.ref == 'refs/heads/main' needs: build uses: ai-cfia/github-workflows/.github/workflows/workflow-deploy-gcp.yml@main with: diff --git a/DEVELOPER.md b/DEVELOPER.md index ab496dc..9807dc7 100644 --- a/DEVELOPER.md +++ b/DEVELOPER.md @@ -24,7 +24,7 @@ * OPENAI_API_KEY: The API key required for authentication when making requests to the OpenAI API. It can be found [here](https://portal.azure.com/#home). - * AZURE_OPENAI_ENDPOINT: The link used to call into Azure OpenAI endpoints. It can be found at the same place as the OPENAI_API_KEY. + * OPENAI_ENDPOINT: The link used to call into Azure OpenAI endpoints. It can be found at the same place as the OPENAI_API_KEY. * OPENAI_API_ENGINE: The name of the model deployment you want to use (ex:ailab-gpt-35-turbo). @@ -32,6 +32,8 @@ * DB_SERVER_CONTAINER_NAME: The name of your database server container (ex: louis-db-server). + * AILAB_SCHEMA_VERSION: The version of the schema you want to use. + * Run database locally (see bin/postgres.sh) * Restore latest schema dump diff --git a/README.md b/README.md index bf19b87..ff0082c 100644 --- a/README.md +++ b/README.md @@ -1,22 +1,32 @@ -# What is louis-db ? +# What is ailab-db ? -Louis-db is the database of [Louis](https://github.com/ai-cfia/louis). It includes all of the python and bash scripts as well as sql functions. It uses ada-002 API (Application Programming Interface) for semantic search. Ada is a model that vectorises text to make a semantic representation out of it. It follows this process : -> Taking the text, passing it through the model, putting it in an embedding table that will work like an index. +Ailab-db contains the database of [Louis](https://github.com/ai-cfia/louis), +[Nachet](https://github.com/ai-cfia/nachet-backend) and any other product of the +CFIA's AI Lab. It includes all of the python and bash scripts as well as sql +functions. It uses ada-002 API (Application Programming Interface) for semantic +search. Ada is a model that vectorises text to make a semantic representation +out of it. It follows this process : +> Taking the text, passing it through the model, putting it in an embedding +> table that will work like an index. -- The *bin* folder : This folder contains all of the bash scripts that would be useful to set up the database. +- The *bin* folder : This folder contains all of the bash scripts that would be + useful for the backends or to set up the database. -- The *louis* folder : This folder is a python module structure that allows connections to the database or the api. +- The *ailab* folder : This folder is a python module structure that allows + connections to the database or the api as well as containing useful functions + for product backends. -- The *postgres* folder : This folder contains the bash script that will set up the docker container. +- The *postgres* folder : This folder contains the bash script that will set up + the docker container. - The *sql* folder : This folder holds all of the sql functions and scripts. - The *tests* folder : This is the test folder, it allows you to test the code. -Here is the database schema : -![database schema](img/database-schema.png) +Here is the database schema : ![database schema](img/database-schema.png) -If you need to set up the database locally, please follow [this procedure](setup-procedure.md). +If you need to set up the database locally, please follow [this +procedure](setup-procedure.md). --- @@ -27,17 +37,20 @@ If you need to set up the database locally, please follow [this procedure](setup If you need to interface with the database, use this to install: ``` -pip install git+https://github.com/ai-cfia/louis-db@v0.0.5-alpha3 +pip install git+https://github.com/ai-cfia/ailab-db@v0.0.5-alpha3 ``` -You'll often want to add, move or modify existing database layer functions found in louis-db from a client repository. +You'll often want to add, move or modify existing database layer functions found +in ailab-db from a client repository. -To edit, you can install an editable version of the package dependencies such as: +To edit, you can install an editable version of the package dependencies such +as: ``` pip install -e git+https://github.com/ai-cfia/louis-db#egg=louis_db ``` -this will checkout the latest source in a local git in src/louis-db allowing edits in that directory to be immediately available for use by louis-crawler. +this will checkout the latest source in a local git in src/louis-db allowing +edits in that directory to be immediately available for use by louis-crawler. -Don't forget to create a PR with your changes once you're done! \ No newline at end of file +Don't forget to create a PR with your changes once you're done! diff --git a/ailab/db/__init__.py b/ailab/db/__init__.py index 11479ed..bc0c18e 100644 --- a/ailab/db/__init__.py +++ b/ailab/db/__init__.py @@ -1,4 +1,4 @@ -"""Database functions for the Louis project.""" +"""Database functions for the ailab project.""" import hashlib import logging import os @@ -72,4 +72,4 @@ def hash(text): We hash using the Python library to remove a roundtrip to the database """ - return hashlib.md5(text.encode()).hexdigest() \ No newline at end of file + return hashlib.md5(text.encode()).hexdigest() diff --git a/ailab/db/api/__init__.py b/ailab/db/api/__init__.py index f21f731..ea580e4 100644 --- a/ailab/db/api/__init__.py +++ b/ailab/db/api/__init__.py @@ -1,14 +1,14 @@ -import louis.models.openai as openai +import ailab.models.openai as openai import os import json import sys -import louis.db as db +import ailab.db as db import dotenv # This is used to load the .env file dotenv.load_dotenv() FINESSE_WEIGHTS = os.environ.get("FINESSE_WEIGHTS") \ - or db.raise_db_error("FINESSE_WEIGHTS is not set") + or db.raise_error("FINESSE_WEIGHTS is not set") if FINESSE_WEIGHTS: @@ -71,7 +71,7 @@ def search(cursor, query_embedding): 'text': ' '.join(sys.argv[1:]), 'query_embedding': query_embedding, 'match_threshold': 0.5, - 'match_count': 1, + 'match_count': 10, 'weights': json.dumps(FINESSE_JSON_PARSED_WEIGHTS) } @@ -105,4 +105,4 @@ def search_from_text_query(cursor, query): else: data.update(db_data) docs = search(cursor, data['embedding']) - return docs \ No newline at end of file + return docs diff --git a/ailab/db/crawler/__init__.py b/ailab/db/crawler/__init__.py index 18d15eb..bb9ff45 100644 --- a/ailab/db/crawler/__init__.py +++ b/ailab/db/crawler/__init__.py @@ -1,7 +1,7 @@ import psycopg import numpy as np -import louis.db as db +import ailab.db as db def link_pages(cursor, source_url, destination_url): """Link two pages together in the database.""" diff --git a/ailab/db/finesse/__init__.py b/ailab/db/finesse/__init__.py new file mode 100644 index 0000000..0ce0ca1 --- /dev/null +++ b/ailab/db/finesse/__init__.py @@ -0,0 +1,32 @@ +import os +import json + +# Constants +DEFAULT_JSON_PATH = "/ailab/db/finesse/prompt" + + +def load_prompt(prompt_path, filename): + full_path = os.path.join(prompt_path, filename) + + with open(full_path, "r") as file: + content = file.read() + + return content + + +def load_json_template(json_path=DEFAULT_JSON_PATH): + """ + Load a JSON template from the specified path. + + Returns: + str: A JSON-formatted string representing the loaded data. + """ + json_file_path = json_path + "/json_template.json" + + with open(json_file_path, "r") as file: + data = json.load(file) # Load the JSON data as a Python dictionary + + # Convert the dictionary back to a JSON-formatted string + content = json.dumps(data, indent=4) # Use 'indent' for pretty printing + + return content diff --git a/ailab/db/finesse/prompt/json_template.json b/ailab/db/finesse/prompt/json_template.json new file mode 100644 index 0000000..4f73cab --- /dev/null +++ b/ailab/db/finesse/prompt/json_template.json @@ -0,0 +1,10 @@ +{ + "page_score": "", + "crawl_id": "", + "chunk_id": "", + "title": "", + "url": "", + "text_content": "", + "question": "", + "answer": "" +} \ No newline at end of file diff --git a/ailab/db/finesse/prompt/qna_system_prompt.txt b/ailab/db/finesse/prompt/qna_system_prompt.txt new file mode 100644 index 0000000..5fd9bcb --- /dev/null +++ b/ailab/db/finesse/prompt/qna_system_prompt.txt @@ -0,0 +1 @@ +Generate Q&A pairs from search results, ensuring that the language in the Q&A pairs matches that of the search results. Create a single JSON file with appropriate formatting and indentation. Always leave "text_content" empty. If you got more than one query, only treat and return result for the first one. Always return a SINGLE JSON file. \ No newline at end of file diff --git a/ailab/db/finesse/prompt/qna_user_prompt.txt b/ailab/db/finesse/prompt/qna_user_prompt.txt new file mode 100644 index 0000000..4e80779 --- /dev/null +++ b/ailab/db/finesse/prompt/qna_user_prompt.txt @@ -0,0 +1 @@ +Your task is to process a JSON file containing text relevant to a search query. Produce a new JSON file completing all existing keys in the JSON template. Specifically, generate entries for 'question' and 'answer' where 'question' represents a question derived from the text and 'answer' provides an appropriate answer addressing the generated question. \ No newline at end of file diff --git a/ailab/db/finesse/test_queries/__init__.py b/ailab/db/finesse/test_queries/__init__.py new file mode 100644 index 0000000..6883e9a --- /dev/null +++ b/ailab/db/finesse/test_queries/__init__.py @@ -0,0 +1,46 @@ +import time +import semver +import math + + +def get_random_chunk(cursor, schema_version, seed=None): + assert ( + semver.compare(schema_version, "0.0.6") >= 0 + ), "Schema version must be >= 0.0.6" + schema_version = "louis_" + schema_version + + if seed is None: + seed = math.sin(time.time()) + + # Execute the SET commands separately + cursor.execute(f'SET SEARCH_PATH TO "{schema_version}", public;') + cursor.execute(f"SET SEED TO {seed};") + + query = """ + SELECT + dc.score AS score, cr.id AS crawl_id, ch.id AS chunk_id, ch.title, cr.url, ch.text_content + FROM + Chunk ch + INNER JOIN + documents dc ON ch.id = dc.chunk_id + INNER JOIN + html_content_to_chunk hctc ON ch.id = hctc.chunk_id + INNER JOIN + html_content hc ON hctc.md5hash = hc.md5hash + INNER JOIN + crawl cr ON hc.md5hash = cr.md5hash + WHERE + dc.score > 0.01 + ORDER BY + floor(random() * ( + SELECT + COUNT(*) + FROM + Chunk + )) + LIMIT + 1; + """ + + cursor.execute(query) + return cursor.fetchall() diff --git a/ailab/models/openai.py b/ailab/models/openai.py index af0cff0..553f19c 100644 --- a/ailab/models/openai.py +++ b/ailab/models/openai.py @@ -56,4 +56,4 @@ def get_chat_answer(system_prompt, user_prompt, max_token): {"role": "user", "content": (user_prompt)} ] ) - return response \ No newline at end of file + return response diff --git a/benchmarking/search_results.json b/benchmarking/search_results.json index 570809e..a55dfb2 100644 --- a/benchmarking/search_results.json +++ b/benchmarking/search_results.json @@ -1,2 +1,70 @@ -{"commit_version": "b2badf1069c3feb0475a4b56da8ddb4d61ff06f0", "function_version": "0.0.1", "args": ["\"how to bring a cat from france to canada\""], "kwargs": {}, "function_name": "init_bench", "start_time": "2023-10-30T20:06:34.197284", "finish_time": "2023-10-30T20:06:34.495414", "return_value": [{"search": [{"id": "e9a64ea3-c7c4-4f0e-bd49-c4e1d9de1a7f", "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/eng/1326600389775/1326600500578", "score": 3.017821829567311, "title": "Bringing animals to Canada: Importing and travelling with pets - Canadian Food Inspection Agency", "scores": {"current": 1, "recency": 0.8708793589157114, "traffic": 0.8188254189764937, "similarity": 0.8272663498460967, "typicality": 0.004253509145044662}, "content": "Bringing animals to Canada: Importing and travelling with pets If you are travelling with a pet or planning to import an animal to Canada, you will need the right paperwork at the border to meet Canada's import requirements\n If you don't, you risk experiencing delays at the border and your animal may not be allowed into Canada\n Canada has specific import requirements in place to avoid introducing animal diseases to protect its people, plants and animals", "query_id": "9f5e33a0-6b81-48da-9681-349dd6d3bb9c", "subtitle": "Bringing animals to Canada: Importing and travelling with pets", "last_updated": "2022-10-20", "tokens_count": 84}]}]} -{"commit_version": "f8c9d7a72944fe0c94fd41bccd2633fc17a11d8c", "function_version": "0.0.1", "args": ["\"how to bring a cat from france to canada\""], "kwargs": {}, "function_name": "init_bench", "start_time": "2023-10-31T14:34:26.463150", "finish_time": "2023-10-31T14:34:32.552876", "return_value": [{"search": [{"id": "e9a64ea3-c7c4-4f0e-bd49-c4e1d9de1a7f", "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/eng/1326600389775/1326600500578", "score": 3.017821829567311, "title": "Bringing animals to Canada: Importing and travelling with pets - Canadian Food Inspection Agency", "scores": {"current": 1, "recency": 0.8708793589157114, "traffic": 0.8188254189764937, "similarity": 0.8272663498460967, "typicality": 0.004253509145044662}, "content": "Bringing animals to Canada: Importing and travelling with pets If you are travelling with a pet or planning to import an animal to Canada, you will need the right paperwork at the border to meet Canada's import requirements\n If you don't, you risk experiencing delays at the border and your animal may not be allowed into Canada\n Canada has specific import requirements in place to avoid introducing animal diseases to protect its people, plants and animals", "query_id": "b7b0a221-1239-48e9-98f7-016d75946b38", "subtitle": "Bringing animals to Canada: Importing and travelling with pets", "last_updated": "2022-10-20", "tokens_count": 84}]}]} +{ + "commit_version": "b2badf1069c3feb0475a4b56da8ddb4d61ff06f0", + "function_version": "0.0.1", + "args": [ + "\"how to bring a cat from france to canada\"" + ], + "kwargs": {}, + "function_name": "init_bench", + "start_time": "2023-10-30T20:06:34.197284", + "finish_time": "2023-10-30T20:06:34.495414", + "return_value": [ + { + "search": [ + { + "id": "e9a64ea3-c7c4-4f0e-bd49-c4e1d9de1a7f", + "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/eng/1326600389775/1326600500578", + "score": 3.017821829567311, + "title": "Bringing animals to Canada: Importing and travelling with pets - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.8708793589157114, + "traffic": 0.8188254189764937, + "similarity": 0.8272663498460967, + "typicality": 0.004253509145044662 + }, + "content": "Bringing animals to Canada: Importing and travelling with pets If you are travelling with a pet or planning to import an animal to Canada, you will need the right paperwork at the border to meet Canada's import requirements\n If you don't, you risk experiencing delays at the border and your animal may not be allowed into Canada\n Canada has specific import requirements in place to avoid introducing animal diseases to protect its people, plants and animals", + "query_id": "9f5e33a0-6b81-48da-9681-349dd6d3bb9c", + "subtitle": "Bringing animals to Canada: Importing and travelling with pets", + "last_updated": "2022-10-20", + "tokens_count": 84 + } + ] + } + ] +} +{ + "commit_version": "f8c9d7a72944fe0c94fd41bccd2633fc17a11d8c", + "function_version": "0.0.1", + "args": [ + "\"how to bring a cat from france to canada\"" + ], + "kwargs": {}, + "function_name": "init_bench", + "start_time": "2023-10-31T14:34:26.463150", + "finish_time": "2023-10-31T14:34:32.552876", + "return_value": [ + { + "search": [ + { + "id": "e9a64ea3-c7c4-4f0e-bd49-c4e1d9de1a7f", + "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/eng/1326600389775/1326600500578", + "score": 3.017821829567311, + "title": "Bringing animals to Canada: Importing and travelling with pets - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.8708793589157114, + "traffic": 0.8188254189764937, + "similarity": 0.8272663498460967, + "typicality": 0.004253509145044662 + }, + "content": "Bringing animals to Canada: Importing and travelling with pets If you are travelling with a pet or planning to import an animal to Canada, you will need the right paperwork at the border to meet Canada's import requirements\n If you don't, you risk experiencing delays at the border and your animal may not be allowed into Canada\n Canada has specific import requirements in place to avoid introducing animal diseases to protect its people, plants and animals", + "query_id": "b7b0a221-1239-48e9-98f7-016d75946b38", + "subtitle": "Bringing animals to Canada: Importing and travelling with pets", + "last_updated": "2022-10-20", + "tokens_count": 84 + } + ] + } + ] +} diff --git a/bin/README.md b/bin/README.md index 724d279..5d5ac1e 100644 --- a/bin/README.md +++ b/bin/README.md @@ -6,7 +6,7 @@ This assumes: * you are running WSL * you are running a dockerized version of Postgresql 15 under WSL -* you are running louis-db in a DevContainer under Visual Studio Code +* you are running ailab-db in a DevContainer under Visual Studio Code * your source is on WSL under ~/src ## configuration @@ -61,4 +61,4 @@ validate manually that schema is as expected here (dbBeaver ERD diagram) before ``` ./bin/load-versioned-data.sh louis_v005 -``` \ No newline at end of file +``` diff --git a/bin/deprecated/migrate.sh b/bin/deprecated/migrate.sh index 0e14c4d..cd40e12 100755 --- a/bin/deprecated/migrate.sh +++ b/bin/deprecated/migrate.sh @@ -1,4 +1,3 @@ - set -x SCHEMA_CHANGES=sql/schema2.sql @@ -34,4 +33,4 @@ if [ "$?" -eq 0 ]; then else echo "update schema failed" exit 1 -fi \ No newline at end of file +fi diff --git a/bin/generate-qna.sh b/bin/generate-qna.sh new file mode 100755 index 0000000..14e256a --- /dev/null +++ b/bin/generate-qna.sh @@ -0,0 +1,7 @@ +#!/bin/bash +DIRNAME=$(dirname "$0") +. "$DIRNAME"/lib.sh + +PROMPT_PATH=$PROJECT_DIR/ailab/db/finesse/prompt + +PYTHONPATH=$PROJECT_DIR python "$DIRNAME"/generate_qna.py "$PROMPT_PATH" --storage_path "../qna-test" diff --git a/bin/generate_qna.py b/bin/generate_qna.py new file mode 100644 index 0000000..8655a66 --- /dev/null +++ b/bin/generate_qna.py @@ -0,0 +1,181 @@ +""" +Script Purpose: This script generates questions based on provided prompts and +stores the responses as JSON files. It interacts with the AI model to create +questions and saves the relevant data for each question in a JSON file. + +Usage: ./generate-qna.sh PROMPT_PATH + +Parameters: - PROMPT_PATH: Directory containing the API prompt files +(qna_system_prompt.txt, qna_user_prompt.txt, and JSON template) +""" + +import os +import json +from datetime import date +import argparse + +import ailab.db as db +from ailab.models import openai +import ailab.db.finesse as finesse + +from ailab.db.finesse.test_queries import get_random_chunk + +# Constants +TEST_VERSION = date.today() +REQUIRED_QUESTIONS = 10 +CHARACTER_LIMIT = 14383 +DEFAULT_STORAGE_PATH = "../qna-test" +SYSTEM_PROMPT_FILENAME = "qna_system_prompt.txt" +USER_PROMPT_FILENAME = "qna_user_prompt.txt" + + +def load_prompts_and_template( + prompt_path, + system_prompt_filename=SYSTEM_PROMPT_FILENAME, + user_prompt_filename=USER_PROMPT_FILENAME, +): + """Loads prompts and template from provided path""" + system_prompt = finesse.load_prompt(prompt_path, system_prompt_filename) + user_prompt = finesse.load_prompt(prompt_path, user_prompt_filename) + json_template = finesse.load_json_template(prompt_path) + + return system_prompt, user_prompt, json_template + + +def construct_user_prompt(user_prompt, random_chunk_str, json_template): + """Constructs the user prompt using prompt, chunk and json template""" + return ( + f"{user_prompt}\n\nHere is the JSON containing the search:\n{random_chunk_str}" + f"\n\nAnd here is the JSON template:\n{json_template}" + ) + + +class NoChunkFoundError(Exception): + pass + + +def generate_question(system_prompt, user_prompt, json_template, project_db): + """Generates a question and saves it to a file""" + if project_db is None: + print("Database connection failed.") + return None + + average_character_length = 0 + + with project_db.cursor() as cursor: + responses = [] # create an empty list to hold the responses + compteur = 0 + while compteur < REQUIRED_QUESTIONS: + # Access the AILAB_SCHEMA_VERSION environment variable + schema_version = os.getenv("AILAB_SCHEMA_VERSION") + + random_chunk = get_random_chunk(cursor, schema_version) + if not random_chunk: + raise NoChunkFoundError("No chunk found in the database.") + + chunk_title = "" + for chunk in random_chunk: + chunk_title = chunk["title"] + + ### BAN WORDS ### + words_to_check = [ + "This page is part", + "Cette page fait partie", + "Archivée", + "archivée", + "Archived", + "archived", + ] + + found_words = [] + + for word in words_to_check: + if word.lower() in chunk_title.lower(): + found_words.append(word) + + if found_words: + print("The following words were found in the string:") + for found_word in found_words: + print("-", found_word) + print("Skipping...") + else: + ### BAN WORDS ### + + constructed_user_prompt = construct_user_prompt( + user_prompt, str(random_chunk), json_template + ) + total_length = len(system_prompt) + len(constructed_user_prompt) + + if total_length < CHARACTER_LIMIT: + average_character_length += total_length + response = openai.get_chat_answer( + system_prompt, constructed_user_prompt, 2000 + ) + data = json.loads(response.choices[0].message.content) + if isinstance(data, dict): + for chunk in random_chunk: + data["text_content"] = chunk["text_content"] + compteur += 1 + responses.append(data) # add the data to the responses list + + return responses, average_character_length / REQUIRED_QUESTIONS + + +def save_response_to_file(data, STORAGE_PATH): + """Saves the provided data to a new file""" + file_number = 1 + while True: + file_name = f"qna_{TEST_VERSION}_{file_number}.json" + file_path = os.path.join(STORAGE_PATH, file_name) + if not os.path.exists(file_path): + break + file_number += 1 + + with open(file_path, "w") as json_file: + print("File saved into: " + file_path) + json.dump(data, json_file, ensure_ascii=False, indent=4) + + +class DirectoryNotFoundError(Exception): + pass + + +class NoQuestionsGeneratedError(Exception): + pass + + +def main(prompt_path, storage_path): + if not os.path.exists(prompt_path): + raise DirectoryNotFoundError(f"The directory '{prompt_path}' does not exist.") + + system_prompt, user_prompt, json_template = load_prompts_and_template(prompt_path) + project_db = db.connect_db() + + # Call generate_question function + responses, average_tokens_per_chunk = generate_question( + system_prompt, user_prompt, json_template, project_db + ) + + # If no questions were generated, raise an error + if average_tokens_per_chunk is None: + raise NoQuestionsGeneratedError("No questions were generated.") + + # Save each response to a file + for response in responses: + save_response_to_file(response, storage_path) + + print("Average Tokens sent to the API: " + str(average_tokens_per_chunk)) + + +def parse_arguments(): + parser = argparse.ArgumentParser(description="Generate questions based on prompts.") + parser.add_argument("prompt_path", help="Directory containing the API prompt") + parser.add_argument( + "--storage_path", default=DEFAULT_STORAGE_PATH, help="Path to storage" + ) + return parser.parse_args() + + +if __name__ == "__main__": + args = parse_arguments() + main(args.prompt_path, args.storage_path) diff --git a/bin/get-individual-scoring-finesse.py b/bin/get-individual-scoring-finesse.py new file mode 100644 index 0000000..43c8af2 --- /dev/null +++ b/bin/get-individual-scoring-finesse.py @@ -0,0 +1,28 @@ +import logging +import ailab.db.finesse as finesse +import ailab.db as db +import pandas as pd +import dotenv + +# This is used to load the .env file +dotenv.load_dotenv() + +logger = logging.getLogger(__name__) +logging.basicConfig(level=logging.DEBUG) + +def create_individual_scoring(cursor): + """Create individual scoring view.""" + with open("sql/2023-11-02-individual-scoring-view.sql", "r") as file: + sql_command = file.read() + cursor.execute(sql_command) + +if __name__ == "__main__": + """Get the individual scoring of each documents and write the results in a csv file.""" + connection = db.connect_db() + with db.cursor(connection) as cursor: + create_individual_scoring(cursor) + results = finesse.get_individual_scoring(cursor) + file = 'tests/output/individual_scoring.csv' + dataframe = pd.DataFrame(results) + logger.info("Creating " + file) + dataframe.to_csv(file, index=False) diff --git a/bin/get-individual-scoring-finesse.sh b/bin/get-individual-scoring-finesse.sh new file mode 100755 index 0000000..3b32f28 --- /dev/null +++ b/bin/get-individual-scoring-finesse.sh @@ -0,0 +1,6 @@ +#!/bin/bash +DIRNAME=$(dirname "$0") +. "$DIRNAME"/lib.sh + +INDIVIDUAL_SCORING_SCRIPT="$DIRNAME"/get-individual-scoring-finesse.py +PYTHONPATH=$PROJECT_DIR python "$INDIVIDUAL_SCORING_SCRIPT" diff --git a/search.py b/bin/search.py similarity index 73% rename from search.py rename to bin/search.py index a75234c..c73c634 100644 --- a/search.py +++ b/bin/search.py @@ -1,11 +1,10 @@ import subprocess import sys +import json import logging -import louis.db.api as api -import louis.db as db +import ailab.db.api as api +import ailab.db as db from microbench import MicroBench, MBReturnValue, MBFunctionCall -import pandas as pd - logger = logging.getLogger(__name__) logging.basicConfig(level=logging.DEBUG) @@ -13,7 +12,6 @@ class Bench(MicroBench, MBFunctionCall, MBReturnValue): pass - OUTFILE = "benchmarking/search_results.json" commit = subprocess.check_output(["git", "rev-parse", "HEAD"]).strip().decode("utf-8") basic_bench = Bench( @@ -27,12 +25,14 @@ def init_bench(query): with db.cursor(connection) as cursor: return api.search_from_text_query(cursor, query) - if __name__ == "__main__": """Execute the sql search function with the query passed as an argument. How to execute: python3 -m search.py query""" query = " ".join(sys.argv[1:]) logging.debug(f"Query is: {query}") - init_bench(query) - with open(OUTFILE, "r") as result_file: - print(pd.read_json(result_file, lines=True)) + results = init_bench(query) + query_file_name = query + ".json" + with open('tests/output/' + query_file_name, 'w+') as result_file: + # Extract the list of results + result_list = results[0]['search'] + json.dump(result_list, result_file, indent=4) diff --git a/bin/search.sh b/bin/search.sh new file mode 100755 index 0000000..4438feb --- /dev/null +++ b/bin/search.sh @@ -0,0 +1,5 @@ +#!/bin/bash +DIRNAME=$(dirname "$0") +. "$DIRNAME"/lib.sh + +PYTHONPATH=$PROJECT_DIR python "$DIRNAME"/search.py "$@" diff --git a/finesse-weights.json b/finesse-weights.json index e610626..4da741f 100644 --- a/finesse-weights.json +++ b/finesse-weights.json @@ -4,4 +4,4 @@ "current": 0.5, "typicality": 0.2, "similarity": 1 -} \ No newline at end of file +} diff --git a/pyproject.toml b/pyproject.toml index d7b0372..5d77be2 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,12 +3,12 @@ requires = ["setuptools>=61.0"] build-backend = "setuptools.build_meta" [project] -name = "louis_db" +name = "ailab_db" version = "0.0.5" authors = [ { name="Ricky Ng-Adam", email="ricky.ng-adam@inspection.gc.ca" }, ] -description = "Database python layer for Louis project" +description = "Database python layer" readme = "README.md" requires-python = ">=3.11" classifiers = [ @@ -19,15 +19,15 @@ classifiers = [ dynamic = ["dependencies"] [tool.setuptools] -packages = ["louis", "louis.db", "louis.models"] +packages = ["louis", "ailab.db", "louis.models"] [tool.setuptools.dynamic] dependencies = {file = ["requirements.txt"]} # https://setuptools.pypa.io/en/latest/userguide/pyproject_config.html # [tool.setuptools.packages.find] -# where = ["louis"] +# where = ["ailab"] [project.urls] -"Homepage" = "https://github.com/ai-cfia/louis-db" -"Bug Tracker" = "https://github.com/ai-cfia/louis-db/issues" \ No newline at end of file +"Homepage" = "https://github.com/ai-cfia/ailab-db" +"Bug Tracker" = "https://github.com/ai-cfia/ailab-db/issues" diff --git a/requirements.txt b/requirements.txt index 12432cf..e94b8c8 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,8 +1,8 @@ -aiohttp==3.8.4 +aiohttp==3.9.0 aiosignal==1.3.1 async-timeout==4.0.2 attrs==23.1.0 -certifi==2023.5.7 +certifi==2023.7.22 charset-normalizer==3.2.0 et-xmlfile==1.1.0 frozenlist==1.4.0 @@ -30,6 +30,7 @@ tqdm==4.65.0 types-pytz==2023.3.0.0 typing_extensions==4.7.1 tzdata==2023.3 -urllib3==2.0.3 +urllib3==2.0.7 yarl==1.9.2 microbench==0.8 +semver==3.0.2 diff --git a/search-scores-and-weights.md b/search-scores-and-weights.md new file mode 100644 index 0000000..bf39d93 --- /dev/null +++ b/search-scores-and-weights.md @@ -0,0 +1,96 @@ +# Scores and weights for search function + +At the re-ranking stage, our search system uses scoring to assign values to each +document based on different parameters. The interplay between clustering and +scoring helps optimize the search process, ensuring that the system considers +both the content and context to deliver more accurate and relevant results for +the user. + +This task becomes challenging when dealing with a large number of documents, +creating the need for optimization strategies. A good approach is the +utilization of an indexing method called clustering, which categorize documents +based on their topics, facilitating a more streamlined and efficient search +process. We also use scoring, which involves the assignment of numerical values +and weights to documents based on various parameters, influencing their ranking +in the search results. Here is our different scores, each serving a unique +purpose: + +1. [**Similarity**](sql/2023-07-19-modify-score_type-add-similarity.sql): + Represents the primary signal in our scoring mechanism. It denotes the + measurement of how closely a document aligns with the user's query, + reflecting the relevance of the document to the search criteria. It is not a + static precomputed score but a dynamic metric that is computed on the fly + from the search results. This ensures that the relevance is tied to the + specific query, going beyond simple keyword matching. Documents with higher + similarity scores are considered more relevant. By prioritizing similarity as + the first signal in our scoring process, we aim to deliver search results + that are more accurate. + - Scaling: FROM 0.0 = least similar to user query TO 1.0 = most similar to + user query + +1. [**Recency**](sql/schema2.sql.public_new.sql): This score considers the + temporal aspect of documents, prioritizing recently added or updated content. + A document's recency is crucial in reflecting the latest information + available to users. + - Scaling: FROM 0.0 = oldest document TO 1.0 = most recent document + +1. [**Traffic**](sql/compute-traffic-score.sql): The frequency with which users + consult a document influences its score. Popular or frequently accessed + documents are given higher scores with the help of web traffic logs, + indicating their relevance and importance to users. Warning: The home page is + rated really high since it's where every user land at first. + - Scaling: FROM 0.0 = least consulted document TO 1.0 = most consulted + document + +1. [**Current**](sql/2023-07-12-score-current.sql): This score determines + whether a document is currently accessible or if it has been archived. It + helps users distinguish between active and inactive content. + - Scaling: 0.0 = currently accessible document **OR** 1.0 = archived + document + +1. [**Typicality**](sql/2023-07-12-calculate-incoming-outgoing-counts.sql): This + score evaluates how closely the number of site references for a document + aligns with the average. Documents with typicality scores reflect a level of + correspondence with the average number of references. This ensures that the + search results prioritize documents considering how well they conform to the + typical reference patterns within the targeted theme. + - Scaling: FROM 0.0 = least referenced document TO 1.0 = most referenced + document + +1. **Didactic**: This score evaluates the informational value within content + chunk. It scores higher based the quality and readability of information + provided. Documents with high didactic scores often contain rich textual + information, explanations, and details. Implementation of the score looks for + signs of the opposite to compute its score - for example, the presence of a + large proportion of tabular data which indicate data dumps from spreadsheets + or databases. + - Scaling: FROM 0.0 = mostly tabular data or information that is not + expected to be read sequentially by a user TO 1.0 = contains rich + textual information, explanations, and details + +1. **Guidance**: This score pertains to content chunks extracted from + guidance-oriented pages, emphasizing their significance and relevance. + Guidance pages typically offer comprehensive direction, instruction, or + expert advice within a specific domain. As these pages tend to provide + crucial information or instructions sought by users, they are given priority + to ensure users can readily access the most helpful and directive content. + - FROM Scaling: 0.0 = doesn't include crucial information or instructions + TO 1.0 = includes crucial information or instructions + +By incorporating these scoring parameters, we fine-tune the document retrieval +process to align with user needs. It allows us to prioritize documents that are +not only recent, popular, and representative but also closely related to the +user's specific search criteria. This multi-faceted approach enhances the +efficiency and effectiveness of our document retrieval system, ensuring a more +tailored and user-friendly experience. + +## Future + +In addition to our current considerations, we can explore the integration of +thematic context into our scoring system. Thematic context involves a specific +focus on the subject or theme related to the user's query, ensuring that the +context is taken into account during the initial score calculation. To implement +this, we would need to incorporate topic labels for documents, a feature not yet +incorporated in our system. Planning for such additional scores allows us to +enhance the depth and relevance of our responses by considering the specific +themes associated with user queries. diff --git a/setup-procedure b/setup-procedure.md similarity index 87% rename from setup-procedure rename to setup-procedure.md index ef3f56c..35fa7be 100644 --- a/setup-procedure +++ b/setup-procedure.md @@ -8,9 +8,9 @@ Once you're on VS Code, you have to do the following : - Type "cd" to return to your $HOME folder. - Create a new directory by typing "mkdir src" (if this folder already exist, skip this step). -Once you did that, you can move to your src folder with `cd src` and then clone the repository of your choice. Here, we will use the [louis-db repository](https://github.com/ai-cfia/louis-db). **Don't forget to configure your git globally.** +Once you did that, you can move to your src folder with `cd src` and then clone the repository of your choice. Here, we will use the [ailab-db repository](https://github.com/ai-cfia/ailab-db). **Don't forget to configure your git globally.** -Move inside of this folder with `cd louis-db`. Then, ensure that you are inside of the "Dev Container : Python3" (this should appear at the **bottom left** of your VS Code window): +Move inside of this folder with `cd ailab-db`. Then, ensure that you are inside of the "Dev Container : Python3" (this should appear at the **bottom left** of your VS Code window): ![devcontainer.PNG](img/devcontainer.PNG) @@ -19,7 +19,7 @@ If not, run the following command in the command palette (Ctrl+Shift+P) : Dev Containers: Rebuild and Reopen in container ``` -**If it's still not working**, ensure that you are inside the louis-db folder and not src. If you are indeed in src, do the following : `cd src/louis-db` and then `code .` +**If it's still not working**, ensure that you are inside the ailab-db folder and not src. If you are indeed in src, do the following : `cd src/ailab-db` and then `code .` When done, open a terminal **outside** of VS Code (should be a Windows PowerShell) and change it to the ubuntu one: @@ -27,7 +27,7 @@ When done, open a terminal **outside** of VS Code (should be a Windows PowerShel Then enter these commands one after another (it will allow you to launch the container for the database): ```shell -cd src/louis-db/postgres +cd src/ailab-db/postgres ./build-louis-postgres.sh ``` @@ -69,4 +69,4 @@ Ensure that the following settings are checked: ![settings2.PNG](img/settings2.PNG) -Congratulation, your database is all setup, you're ready to go! \ No newline at end of file +Congratulation, your database is all setup, you're ready to go! diff --git a/sql/2023-07-07-cleanup-orphans.sql b/sql/2023-07-07-cleanup-orphans.sql index ae4b9a8..24d98f8 100644 --- a/sql/2023-07-07-cleanup-orphans.sql +++ b/sql/2023-07-07-cleanup-orphans.sql @@ -1,4 +1,4 @@ -set search_path to "louis_v003", public; +set search_path to louis_v003, public; ALTER TABLE louis_v003.chunk DISABLE TRIGGER ALL; diff --git a/sql/2023-07-24-comment-score_type.sql b/sql/2023-07-24-comment-score_type.sql index 30a5d59..9fa5663 100644 --- a/sql/2023-07-24-comment-score_type.sql +++ b/sql/2023-07-24-comment-score_type.sql @@ -1,9 +1,5 @@ comment on type score_type is $COMMENT$ score_type defines type of measurements that are taken into account. - -current is relative to if the document is marked as archive (0) or not (1) -traffic is number of pageviews from the web logs (relative to all other documents traffic) -recency is how recent the document was created or updated (relative to all other documents) -typicality is how close the number of site references for this document is close to the average -$COMMENT$; \ No newline at end of file +For more details about each scores, please read https://github.com/ai-cfia/ailab-db/blob/main/search-scores-and-weights.md +$COMMENT$; diff --git a/sql/2023-11-02-individual-scoring-view.sql b/sql/2023-11-02-individual-scoring-view.sql new file mode 100644 index 0000000..f5bfbce --- /dev/null +++ b/sql/2023-11-02-individual-scoring-view.sql @@ -0,0 +1,9 @@ +CREATE VIEW individual_score AS +SELECT entity_id, + COALESCE(SUM(CASE WHEN s.score_type = 'current' THEN s.score END), 0) AS current, + COALESCE(SUM(CASE WHEN s.score_type = 'recency' THEN s.score END), 0) AS recency, + COALESCE(SUM(CASE WHEN s.score_type = 'traffic' THEN s.score END), 0) AS traffic, + COALESCE(SUM(CASE WHEN s.score_type = 'typicality' THEN s.score END), 0) AS typicality, + COALESCE(AVG(s.score), 0) AS avg +FROM score s +GROUP BY entity_id; diff --git a/sql/2023-11-21-clone-schema.sql b/sql/2023-11-21-clone-schema.sql new file mode 100644 index 0000000..b0d5658 --- /dev/null +++ b/sql/2023-11-21-clone-schema.sql @@ -0,0 +1 @@ +SELECT clone_schema('louis_v005', '"louis_0.0.6"', TRUE); diff --git a/sql/2023-11-23-create-chunk-score-table.sql b/sql/2023-11-23-create-chunk-score-table.sql new file mode 100644 index 0000000..36af54f --- /dev/null +++ b/sql/2023-11-23-create-chunk-score-table.sql @@ -0,0 +1,5 @@ +CREATE TABLE chunk_score ( + id uuid default uuid_generate_v4 (), + score FLOAT, + score_type VARCHAR(50) +); diff --git a/sql/2023-11-23-fill-chunk-score-table.sql b/sql/2023-11-23-fill-chunk-score-table.sql new file mode 100644 index 0000000..f181012 --- /dev/null +++ b/sql/2023-11-23-fill-chunk-score-table.sql @@ -0,0 +1,31 @@ +-- Set the search path to the louis_006 schema +SET + search_path TO "louis_0.0.6"; + +INSERT INTO + chunk_score (id, score, score_type) +SELECT + s.id, + s.score, + s.score_type +FROM + score s; + +CREATE +OR REPLACE FUNCTION count_tr_in_chunk(chunk_id UUID) RETURNS INTEGER AS $ $ DECLARE tr_count INTEGER; + +BEGIN +SELECT + COUNT(*) INTO tr_count +FROM + chunk +WHERE + id = chunk_id + AND html_content LIKE '%%'; + +-- Replace 'html_content' with your column name +RETURN tr_count; + +END; + +$ $ LANGUAGE plpgsql; diff --git a/sql/2023-11-28-chunk-didactic-score.sql b/sql/2023-11-28-chunk-didactic-score.sql new file mode 100644 index 0000000..0b0bff7 --- /dev/null +++ b/sql/2023-11-28-chunk-didactic-score.sql @@ -0,0 +1,45 @@ +-- Set the search path to the louis_0.0.6 schema +SET + search_path TO "louis_0.0.6"; + +CREATE TABLE IF NOT EXISTS chunk_score ( + id UUID, + score FLOAT, + score_type VARCHAR(50) +); + +TRUNCATE TABLE chunk_score; + +INSERT INTO + chunk_score (id, score, score_type) +SELECT + ch.id, + -- Use the id column from the chunk table + ROUND( + 1 - ( + ( + LENGTH(hc.content) - LENGTH(REPLACE(hc.content, '', '')) + ) / LENGTH('') - length_values.min_val + ) * 1.0 / (length_values.max_val - length_values.min_val), + 1 + ) AS tr_proportion, + 'didactic' AS score_type +FROM + chunk ch + INNER JOIN html_content_to_chunk hctc ON ch.id = hctc.chunk_id + INNER JOIN html_content hc ON hctc.md5hash = hc.md5hash + CROSS JOIN ( + SELECT + MIN( + LENGTH(content) - LENGTH(REPLACE(content, '', '')) + ) / LENGTH('') AS min_val, + MAX( + LENGTH(content) - LENGTH(REPLACE(content, '', '')) + ) / LENGTH('') AS max_val + FROM + chunk ch + INNER JOIN html_content_to_chunk hctc ON ch.id = hctc.chunk_id + INNER JOIN html_content hc ON hctc.md5hash = hc.md5hash + ) AS length_values +ORDER BY + tr_proportion DESC; diff --git a/sql/2023-11-28-create-histogram.sql b/sql/2023-11-28-create-histogram.sql new file mode 100644 index 0000000..c89afdf --- /dev/null +++ b/sql/2023-11-28-create-histogram.sql @@ -0,0 +1,75 @@ +-- Set the search path to the louis_0.0.6 schema +SET + search_path TO "louis_0.0.6"; + +WITH tr_counts AS ( + SELECT + c.id, + ( + LENGTH(h.content) - LENGTH(REPLACE(h.content, '', '')) + ) / LENGTH('') AS tr_count + FROM + crawl c + INNER JOIN html_content h ON c.md5hash = h.md5hash +), +tr_stats AS ( + SELECT + id, + tr_count, + MAX(tr_count) OVER () AS max_tr_count, + MIN(tr_count) OVER () AS min_tr_count + FROM + tr_counts +), +histogram AS ( + SELECT + bucket_min, + bucket_max, + COUNT(t.score) AS freq, + REPEAT( + '■', + ( + COUNT(t.score) :: FLOAT / GREATEST(MAX(COUNT(t.score)) OVER(), 1) * 30 + ) :: INT + ) AS bar + FROM + ( + SELECT + CAST(generate_series(0, 9) AS FLOAT) / 10.0 AS bucket_min, + CAST(generate_series(1, 10) AS FLOAT) / 10.0 AS bucket_max + ) AS buckets + LEFT JOIN ( + SELECT + id, + tr_count, + CASE + WHEN max_tr_count = min_tr_count THEN 0.0 + ELSE 1.0 - ( + (tr_count - min_tr_count) :: FLOAT / (max_tr_count - min_tr_count) + ) + END AS score + FROM + tr_stats + ) t ON t.score >= buckets.bucket_min + AND ( + t.score < buckets.bucket_max + OR ( + buckets.bucket_max = 1.0 + AND t.score <= buckets.bucket_max + ) + ) + GROUP BY + buckets.bucket_min, + buckets.bucket_max + ORDER BY + buckets.bucket_min, + buckets.bucket_max +) +SELECT + bucket_min, + bucket_max, + freq, + bar +FROM + histogram; + diff --git a/sql/2023-11-28-print-schema-table.sql b/sql/2023-11-28-print-schema-table.sql new file mode 100644 index 0000000..c9fb97b --- /dev/null +++ b/sql/2023-11-28-print-schema-table.sql @@ -0,0 +1,3 @@ +SELECT table_name, column_name, data_type +FROM information_schema.columns +WHERE table_schema = 'louis_0.0.6'; diff --git a/sql/2023-11-29-rename-schema.sql b/sql/2023-11-29-rename-schema.sql new file mode 100644 index 0000000..f729863 --- /dev/null +++ b/sql/2023-11-29-rename-schema.sql @@ -0,0 +1 @@ +ALTER SCHEMA louis_006 RENAME TO "louis_0.0.6"; diff --git a/sql/2023-11-30-tr-count.sql b/sql/2023-11-30-tr-count.sql new file mode 100644 index 0000000..9f26322 --- /dev/null +++ b/sql/2023-11-30-tr-count.sql @@ -0,0 +1,33 @@ +-- Set the search path to the louis_0.0.6 schema +SET + search_path TO "louis_0.0.6"; + +WITH tr_counts AS ( + SELECT + id, + (LENGTH(html_content) - LENGTH(REPLACE(html_content, '', ''))) / LENGTH('') AS tr_count + FROM + crawl +), +tr_stats AS ( + SELECT + id, + tr_count, + MAX(tr_count) OVER () AS max_tr_count, + MIN(tr_count) OVER () AS min_tr_count + FROM + tr_counts +) +SELECT + id, + tr_count, + -- Normalize tr_count into a score between 1 and 0, with higher tr_count getting lower score + CASE + WHEN max_tr_count = min_tr_count THEN 0.0 -- Avoid division by zero, assign lowest score + ELSE 1.0 - ((tr_count - min_tr_count)::FLOAT / (max_tr_count - min_tr_count)) + END AS score +FROM + tr_stats +ORDER BY + score ASC +LIMIT 3; \ No newline at end of file diff --git a/sql/2023-12-11-score-by-element.sql b/sql/2023-12-11-score-by-element.sql new file mode 100644 index 0000000..df62bdb --- /dev/null +++ b/sql/2023-12-11-score-by-element.sql @@ -0,0 +1,33 @@ +-- Set the search path to the louis_0.0.6 schema +SET + search_path TO "louis_0.0.6"; + +WITH tr_counts AS ( + SELECT + id, + (LENGTH(h.content) - LENGTH(REPLACE(h.content, '', ''))) / LENGTH('') AS tr_count + FROM + crawl c + INNER JOIN html_content h ON c.md5hash = h.md5hash +), +tr_stats AS ( + SELECT + id, + tr_count, + MAX(tr_count) OVER () AS max_tr_count, + MIN(tr_count) OVER () AS min_tr_count + FROM + tr_counts +) +SELECT + id, + tr_count, + -- Normalize tr_count into a score between 1 and 0, with higher tr_count getting lower score + CASE + WHEN max_tr_count = min_tr_count THEN 0.0 -- Avoid division by zero, assign lowest score + ELSE 1.0 - ((tr_count - min_tr_count)::FLOAT / (max_tr_count - min_tr_count)) + END AS score +FROM + tr_stats +ORDER BY + score ASC; diff --git a/sql/2023-12-12-create-tabletest.sql b/sql/2023-12-12-create-tabletest.sql new file mode 100644 index 0000000..26772b6 --- /dev/null +++ b/sql/2023-12-12-create-tabletest.sql @@ -0,0 +1,25 @@ +-- Set the search path to the louis_0.0.6 schema +SET + search_path TO "louis_0.0.6"; + +CREATE TABLE ( + content VARCHAR(255) -- Change 255 to the desired length of the string +); + +TRUNCATE TABLE tabletest; + +CREATE TABLE tabletest ( + id SERIAL PRIMARY KEY, + html_content TEXT +); + +INSERT INTO tabletest (html_content) VALUES ('...'); +INSERT INTO tabletest (html_content) VALUES ('......'); +INSERT INTO tabletest (html_content) VALUES ('.........'); +INSERT INTO tabletest (html_content) VALUES ('............'); +INSERT INTO tabletest (html_content) VALUES ('...............'); +INSERT INTO tabletest (html_content) VALUES ('..................'); +INSERT INTO tabletest (html_content) VALUES ('.....................'); +INSERT INTO tabletest (html_content) VALUES ('........................'); +INSERT INTO tabletest (html_content) VALUES ('...........................'); +INSERT INTO tabletest (html_content) VALUES ('..............................'); diff --git a/sql/clone_schema.sql b/sql/clone_schema.sql index 6bb427a..2cd5598 100644 --- a/sql/clone_schema.sql +++ b/sql/clone_schema.sql @@ -189,5 +189,4 @@ END; $BODY$ LANGUAGE plpgsql VOLATILE COST 100; -ALTER FUNCTION clone_schema(text, text, boolean) - OWNER TO postgres; \ No newline at end of file +ALTER FUNCTION clone_schema(text, text, boolean); diff --git a/tests/output/How do I use digital certificates.json b/tests/output/How do I use digital certificates.json new file mode 100644 index 0000000..48b9dc6 --- /dev/null +++ b/tests/output/How do I use digital certificates.json @@ -0,0 +1,179 @@ +[ + { + "id": "7c81e61b-ba48-4fb9-9184-57949ac87cba", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-4625/eng/1683208352430/1683208671023", + "score": 2.589613673910529, + "title": "Privacy Notice Statement applicable to Form CFIA/ACIA 4625: Application for poultry grading service - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9828750825503562, + "traffic": 0.08492138687992515, + "similarity": 0.8218172044802481, + "typicality": 1 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2023-05-04", + "tokens_count": 330 + }, + { + "id": "c5fff63c-ef4f-4446-8cf3-0921ea3c6cc0", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-5087/eng/1434981086781/1434981087203", + "score": 2.498024442870367, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 5087 - Plant Breeders' Rights - Application for Filing Purposes - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9963056206807178, + "traffic": 0.1406842633920893, + "similarity": 0.8218172044802481, + "typicality": 0.19608677158655893 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2023-05-26", + "tokens_count": 330 + }, + { + "id": "396391ef-e970-4893-853b-1923f1c06bae", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-5616/eng/1434981047736/1434981048173", + "score": 2.485953526815571, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 5616 - Plant Breeders' Rights Fee Payment - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9624713731448594, + "traffic": 0.18830893047502342, + "similarity": 0.8218172044802481, + "typicality": 0.06678009357720119 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2023-03-31", + "tokens_count": 330 + }, + { + "id": "d1dd6300-ac0b-4585-9808-7332bca014f3", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-0065/eng/1432728106651/1432728108542", + "score": 2.4426338374643715, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 0065 - Application for Permit to Operate a Rendering Plant - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9004063890376955, + "traffic": 0.1384876578128679, + "similarity": 0.8218172044802481, + "typicality": 0.40961293066780097 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2022-12-13", + "tokens_count": 330 + }, + { + "id": "a2f845f5-a84f-4ce2-8522-5b6df3bf1551", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-1524/eng/1441216821889/1441216822639", + "score": 2.192758856054181, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 1524 - Report of Intradermal Test - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.5193017972253728, + "traffic": 0.15163985434856012, + "similarity": 0.8218172044802481, + "typicality": 1 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2020-07-07", + "tokens_count": 330 + }, + { + "id": "bf878bab-7a09-4899-8616-84911713878f", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-1634/eng/1519836886327/1519836887201", + "score": 2.1842029614381677, + "title": "Form CFIA/ACIA 1634 - Certificate of Health for Entry Into A Semen Production Centre / Supplementary Declaration For Entry of Bulls Into A Semen Production Centre - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.6971204604494589, + "traffic": 0.16526529650846075, + "similarity": 0.8218172044802481 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2021-10-25", + "tokens_count": 330 + }, + { + "id": "8e905ce9-4ca9-455a-9856-e153f1c2a2f6", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-5789/eng/1551991179725/1551991180006", + "score": 2.0086129723178527, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 5789 - Request for Exemption from the Minimum Growth and Monitoring Period \u2013 United States \u2013 Canada Greenhouse-Grown Plant Certification Program (GCP) - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.5721017669954749, + "traffic": 0.11469400084212972, + "similarity": 0.8218172044802481 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2020-12-10", + "tokens_count": 330 + }, + { + "id": "25953e1d-d821-4f6a-b86b-7997a8a9db90", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-5864/eng/1585052333487/1585052333971", + "score": 1.929943198065311, + "title": "Form CFIA/ACIA 5864 - Variety Registration Office (VRO) Description of Variety (DoV) for Canola and Rapeseed - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.48649916394393194, + "traffic": 0.1216268296411309, + "similarity": 0.8218172044802481 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2020-03-24", + "tokens_count": 330 + }, + { + "id": "1394ca77-2424-40a6-9475-06ce07902cc8", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-5785/eng/1475521852193/1475521852668", + "score": 1.845643229329217, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 5785 - Checklist for Audit of Canadian Beef Export Establishment Slaughter and Processing Plant - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.34352934513880135, + "traffic": 0.14107932539285595, + "similarity": 0.8218172044802481, + "typicality": 0.19608677158655893 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2018-09-13", + "tokens_count": 330 + }, + { + "id": "fe2d45ef-4baa-4bad-872d-25482c157202", + "url": "https://inspection.canada.ca/about-cfia/find-a-form/form-cfia-acia-1113/eng/1420563731710/1420563732788", + "score": 1.646662019957537, + "title": "Privacy Notice Statement applicable to form CFIA/ACIA 1113 - Seed Analysis Certificate for Export Purposes - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.1497891845376439, + "traffic": 0.1358382766223333, + "similarity": 0.8218172044802481, + "typicality": 0.19608677158655893 + }, + "content": "How to sign a form digitally Note: Not all Canadian Food Inspection Agency (CFIA) forms accept digital signatures at this time. Follow these steps: install Adobe Reader 10 or higher to your device download and save the form you wish to complete to your device create a Digital ID sign the form using a Digital ID Create a Digital ID open the PDF form you wish to sign and click the Signature box select Configure Digital ID or Configure New Digital ID select Create a new Digital ID as the type of Digital ID and click Continue select Save to file as the destination of the Digital ID and click Continue enter your identity information and click Continue fill in your name and email address from the Key Algorithm menu, choose an option (the 2048-bit RSA option offers more security than 1024-bit RSA, but 1024-bit RSA is more universally compatible) from the Use Digital ID For menu, choose whether you want to use the Digital ID for signatures, data encryption, or both click Browse to select where you would like to save the Digital ID on your device or use the default location as shown in the File Name field remember where you saved the Digital ID so that you can copy it or back it up enter and confirm a password to protect your Digital ID and click Save you will need this password when you sign a document using your Digital ID Sign a form using a Digital ID open the PDF form you wish to sign and click the Signature box choose the Digital ID that you want to use for signing and click Continue enter the password for your Digital ID and click Sign save the completed form to your device remember where you saved the form so you can access it later", + "query_id": "2bc01fd5-40c6-41a6-a4ed-ac5efb5e9f38", + "subtitle": "How to sign a form digitally", + "last_updated": "2015-02-10", + "tokens_count": 330 + } +] diff --git a/tests/output/how to bring a cat to canada.json b/tests/output/how to bring a cat to canada.json new file mode 100644 index 0000000..a2c9925 --- /dev/null +++ b/tests/output/how to bring a cat to canada.json @@ -0,0 +1,182 @@ +[ + { + "id": "e9a64ea3-c7c4-4f0e-bd49-c4e1d9de1a7f", + "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/eng/1326600389775/1326600500578", + "score": 3.039509905115578, + "title": "Bringing animals to Canada: Importing and travelling with pets - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.8708793589157114, + "traffic": 0.8188254189764937, + "similarity": 0.8489544253943638, + "typicality": 0.004253509145044662 + }, + "content": "Bringing animals to Canada: Importing and travelling with pets If you are travelling with a pet or planning to import an animal to Canada, you will need the right paperwork at the border to meet Canada's import requirements\n If you don't, you risk experiencing delays at the border and your animal may not be allowed into Canada\n Canada has specific import requirements in place to avoid introducing animal diseases to protect its people, plants and animals", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Bringing animals to Canada: Importing and travelling with pets", + "last_updated": "2022-10-20", + "tokens_count": 84 + }, + { + "id": "e4d156cb-82ba-4d66-b60b-0065af4302f6", + "url": "https://inspection.canada.ca/travelling-with-pets-food-or-plants/eng/1573770102207/1573770205327", + "score": 2.870121643189294, + "title": "Travelling with pets, food or plants - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9541925188319116, + "traffic": 0.5758861468256581, + "similarity": 0.8305151170468241, + "typicality": 0.047639302424500214 + }, + "content": "Travelling with pets, food or plants Rules for food, plant and animal products and by-products entering Canada. Most requested Travelling with dogs Canadian International Health Certificate Bringing a horse from the US Search import rules (AIRS) Find a form Services and information Bringing food into Canada for personal use Products that are allowed into Canada. Travelling with pets Rules for bringing pets into Canada or travelling to another country with a pet. Protecting your pet when they travel Tips to make sure your pet has a safe journey. Importing plants and plant products: what you need to know Information relating to the importation and domestic movement of plants and plant products. Features Bringing animals to Canada Find out what you need before you travel with your pet or import an animal. New import requirements for commercial dogs less than 8 months old Find out what the requirements are that ensure imported dogs are healthy and travel humanely. If you're thinking of buying or adopting a dog Find out what to watch out for if you are importing a dog you have never met or buying from an on-line broker in Canada.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Travelling with pets, food or plants", + "last_updated": "2023-03-17", + "tokens_count": 217 + }, + { + "id": "bc5ec6f8-cf48-4247-9f49-b4b366818d1c", + "url": "https://inspection.canada.ca/travelling-with-pets-food-or-plants/travelling-with-a-pet/eng/1575745860029/1575746174301", + "score": 2.6671953548095955, + "title": "Travelling with a pet - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.7513050721419567, + "traffic": 0.5281703154221089, + "similarity": 0.8449296652463802, + "typicality": 0.2139515099957465 + }, + "content": "Travelling with a pet Pets must meet specific requirements when travelling to Canada or another country. It is your responsibility to review all the requirements for your situation. Some requirements must be completed at specific times and if not completed correctly or on time your pet may not be eligible to travel and be refused entry. As soon as you know your travel details, contact your local veterinarian to assist with the pet travel process. Requirements could include obtaining a health certificate, updating vaccinations, testing, or administering medications. Only dogs, cats and ferrets qualify as pets by CFIA. Check requirements for other animals if you're travelling with a non-traditional pet. Travelling to Canada from another country (import requirements) Requirements for bringing an animal into Canada apply to the following situation: animals entering Canada permanently animals in transit through Canada on their way to a final destination animals entering Canada for a temporary visit Canadian animals returning to Canada Travelling from Canada to another country (export requirements) The country you're travelling to may have requirements your pet must meet before they can enter the country. Export requirements are determined by each country and can change frequently. Every time you plan to travel with your pet, it is your responsibility to check the requirements and allow enough time to get your pet ready to travel. Pets (dogs, cats and ferrets) All other animals Related links Travelling to the United States with a pet Look up import requirements (AIRS)", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Travelling with a pet", + "last_updated": "2022-02-23", + "tokens_count": 286 + }, + { + "id": "94005f77-2a85-41e9-8202-b57949a41965", + "url": "https://inspection.canada.ca/animal-health/terrestrial-animals/exports/pets/israel/eng/1321303849459/1321304126090", + "score": 2.5630269364286264, + "title": "Export of domestic dogs and cats to Israel - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.9206404393335351, + "traffic": 0.1915783775534192, + "similarity": 0.8300084598224038, + "typicality": 0.6039982985963419 + }, + "content": "Export of domestic dogs and cats to Israel This page is part of the Guidance Document Repository (GDR). Looking for related documents? Search for related documents in the Guidance Document Repository Contact a Canadian Food Inspection Agency office to receive instructions for exporting domestic dogs and cats to Israel. You will receive written instructions. Please read the instructions carefully. There are important pieces of information regarding required documentation, time lines, certification requirements and locations where imports of such pets are accepted.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Export of domestic dogs and cats to Israel", + "last_updated": "2023-01-18", + "tokens_count": 91 + }, + { + "id": "348ab217-ebdc-4c21-b2e8-8072ba66015f", + "url": "https://inspection.canada.ca/animal-health/terrestrial-animals/exports/pets/united-states-of-america/eng/1475065583538/1475065648302", + "score": 2.4885029808683248, + "title": "Export of Dogs and Cats to the United States of America - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.6368656604040932, + "traffic": 0.31929918828150805, + "similarity": 0.8323381321827238, + "typicality": 1 + }, + "content": "Export of Dogs and Cats to the United States of America This page is part of the Guidance Document Repository (GDR). Looking for related documents? Search for related documents in the Guidance Document Repository The Canadian Food Inspection Agency (CFIA) has no role in the export of dogs and cats to the United States of America (USA), including Hawaii. The completion and issuance of any required documentation (e.g. vaccination certificate, export health certificate) is the responsibility of a licensed Canadian veterinarian and official endorsement (i.e. stamp and signature) by a CFIA veterinarian is not required. All the information for exporting dogs and cats to the USA is available on the United States Department of Agriculture Animal and Plant Health Inspection Service (USDA APHIS) website. Dogs and cats entering the USA may also be subject to requirements from other federal agencies and state authorities. It is the exporter\u2019s responsibility to ensure that animals comply with all federal and state requirements. If you have additional questions about exporting a dog or cat to the USA, please contact the appropriate federal and/or state authorities in the USA.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Export of Dogs and Cats to the United States of America", + "last_updated": "2021-06-01", + "tokens_count": 217 + }, + { + "id": "86cd99ce-2ea7-42fa-bce0-622c0e518255", + "url": "https://inspection.canada.ca/importing-food-plants-or-animals/pets/dogs/commercial-imports-8-months/criteria-for-quarantine-facilities/overview-of-the-process/eng/1628293690023/1628293690492", + "score": 2.2940659908670664, + "title": "Overview of the process for importing dogs less than 8 months of age for breeding or show/exhibition (permanent stay) from the USA - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.6634381270335099, + "traffic": 0.21137811336912013, + "similarity": 0.827969444211778, + "typicality": 0.45640153126329225 + }, + "content": "If you decide to apply for an import permit Create a My CFIA account as applications must be submitted online. Submit your import permit application form through the My CFIA portal. To import dogs under the breeding end use you will be required to provide proof of a current, valid membership with the Canadian Kennel Club or another equivalent national breed association/club in Canada. A copy of the membership/registration document (whether it's a certificate, card or other official document) which was issued to you by the association/club at the time you were approved/renewed as a member and demonstrates that your membership is current/valid is considered acceptable as proof of valid membership for recognized breeders. The address of the importing kennel listed on the import permit application must be the same as the address of the registered kennel listed on the provided proof of membership. If you will be importing dogs by air, ensure that your post-import quarantine facility and contingency plan (if applicable) are ready, including any necessary arrangements for veterinary care. These will need to be approved by your local CFIA office before an import permit is issued. The CFIA will contact you to arrange this. The post-import quarantine facility and contingency plan (if applicable) will only be required if there are health or documentation issues that require further inspection or the animals will be ordered removed from Canada for non-compliance. You must have a transport plan. Animals must be shipped by the most direct and appropriate route from the point of export to the address of destination in Canada. This will include identifying the planned airport or land border crossing that will be used to enter Canada.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "If you decide to apply for an import permit", + "last_updated": "2021-08-06", + "tokens_count": 325 + }, + { + "id": "3ef71b2b-9c7c-4f62-baba-39d75db18e66", + "url": "https://inspection.canada.ca/animal-health/terrestrial-animals/exports/pets/cayman-islands/eng/1321293402373/1321293532554", + "score": 2.2776593922287676, + "title": "Export of Dogs and Cats to the Cayman Islands - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.5570409643250326, + "traffic": 0.1876441199343176, + "similarity": 0.8329743079694172, + "typicality": 1 + }, + "content": "Export of Dogs and Cats to the Cayman Islands This page is part of the Guidance Document Repository (GDR). Looking for related documents? Search for related documents in the Guidance Document Repository All the requirements and information for bringing dogs and cats to the Cayman Islands are available on the Cayman Islands Department of Agriculture website. Please review this information and the certificate Export of Dogs and Cats to the Cayman Islands from Canada - PDF (472 kb) to ensure that all requirements are met in advance of travel. If you have difficulties viewing the information contained on this website, you can contact the Canadian Food Inspection Agency's Animal Health Office in your area to receive a copy of the necessary documents. Please note that the Cayman Islands may change these requirements without notification to the CFIA. As a result, it is strongly advised to review this export certificate against the import permit to ensure that all requirements are addressed.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Export of Dogs and Cats to the Cayman Islands", + "last_updated": "2020-10-28", + "tokens_count": 180 + }, + { + "id": "355754d0-9c43-4129-941d-9082bc12a767", + "url": "https://inspection.canada.ca/animal-health/terrestrial-animals/exports/pets/japan/eng/1321304679766/1321304791085", + "score": 2.201321917159856, + "title": "Export of dogs and cats to Japan - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.45347536337643607, + "traffic": 0.2186853199921037, + "similarity": 0.8291612337913165, + "typicality": 1 + }, + "content": "Export of dogs and cats to Japan This page is part of the Guidance Document Repository (GDR). Looking for related documents? Search for related documents in the Guidance Document Repository All the information and export certificates for bringing dogs and cats to Japan are available on the Ministry of Agriculture, Forestry and Fisheries of Japan website. If you have difficulties viewing the information contained on this website, you can contact the Canadian Food Inspection Agency's, Terrestrial Animal Health office in your area to receive a copy of the necessary documents.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Export of dogs and cats to Japan", + "last_updated": "2019-12-02", + "tokens_count": 102 + }, + { + "id": "e1d5365f-c507-4334-a25f-ff2676e6f936", + "url": "https://inspection.canada.ca/inspect-and-protect/animal-health/bringing-fluffy-into-canada-know-the-import-rules/eng/1598382456266/1598382456724", + "score": 1.9936512755051643, + "title": "Bringing Fluffy into Canada? Know the import rules - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.5356789539791947, + "traffic": 0.10733206049583346, + "similarity": 0.8348172070105698, + "typicality": 0.0791152700978307 + }, + "content": "Adopting or travelling with a pet? It is the importer's responsibility to ensure that all the rules are followed when importing animals into the country. However, before travelling with animals or importing an animal for adoption, Canadians should review the import rules when travelling with pets. Before travelling, a health check by a veterinarian is recommended to make sure the animal is healthy enough for the journey. Any animal can be refused entry into the country if it appears to be in poor health or if proper documentation is not provided. Some imports of animals for adoption, sale or other commercial purposes require an import permit and if one is needed, a My CFIA account will need to be created in order to request a permit. Animals must also be comfortable and safe during the trip. Carriers and cages should have enough room for them to lie down and switch positions, and provide enough safety measures and ventilation options to allow proper airflow even when stacked or buttressed against other cargo.\nMaking safety a priority The CFIA works with provincial and territorial governments, producers, transporters, industry organizations, and many others to ensure animals are safe from harm and injury when they travel by land, air or sea. For example, the CFIA recently required an animal rescue company to install a fan and portable air conditioning unit to ensure the safety and comfort of dogs destined for new Canadian owners during the summer heat. Thanks to these regulations, these furry new Canadians could breathe easy while safely secured in temperature-controlled comfort. The CFIA works with provincial and territorial governments, producers, transporters, industry organizations, and many others to ensure animals are safe from harm and injury when they travel by land, air or sea. For example, the CFIA recently required an animal rescue company to install a fan and portable air conditioning unit to ensure the safety and comfort of dogs destined for new Canadian owners during the summer heat.\nLearn more Before purchasing or adopting a dog, know which questions to ask a breeder and determine if you will need an import permit for animals travelling from other countries. Please consult Travelling with your dog: import rules for more information. Get more Inspect and Protect Want to learn more about what we do? Explore articles, videos and podcasts. Interested in reporting on a story? Contact CFIA Media Relations to arrange an interview with one of our experts. Have an idea or feedback to share? Get in touch! Never miss a story. Subscribe to our monthly newsletter.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Adopting or travelling with a pet?;Making safety a priority;Learn more", + "last_updated": "2020-08-26", + "tokens_count": 487 + }, + { + "id": "ee8ffb21-c029-4b68-a56b-54ee7a22572a", + "url": "https://inspection.canada.ca/animal-health/terrestrial-animals/exports/pets/french-polynesia/eng/1495068917783/1495068918719", + "score": 1.9446805434092487, + "title": "Export of Dogs and Cats to French Polynesia - Canadian Food Inspection Agency", + "scores": { + "current": 1, + "recency": 0.2534963413727065, + "traffic": 0.16050440729328277, + "similarity": 0.8306797947432595, + "typicality": 1 + }, + "content": "Export of Dogs and Cats to French Polynesia This page is part of the Guidance Document Repository (GDR). Looking for related documents? Search for related documents in the Guidance Document Repository To export a pet (dog or cat) from Canada to French Polynesia you must comply with all of the requirements outlined in the International Health Certificate for Dogs and Cats Export to French Polynesia \u2013 PDF (486 kb). Review the certificate and ensure that all requirements are met in advance of travel. This includes: A Rabies Neutralizing Antibody Titre Test. This test must be performed in an approved laboratory between 3 and 12 months prior to dispatch. A passing result is 0.5 International Units (IU) or more. The animal(s) should be vaccinated or revaccinated against rabies and the vaccination should be valid at least 6 months preceding the loading. Animals younger than three (3) months do not need to be vaccinated against rabies. Two treatments against internal and external parasites. Within the 30 days prior to shipping, the animal(s) must undergo two treatments against internal and external parasites. The second treatment must be at least 14 days of interval from the first and within the 4 days prior to departure. A full clinical examination by a CFIA official veterinarian at the airport at the time of loading for departure. Note that the cage must be sealed by an official seal. You are strongly advised to contact your CFIA District Office well in advance to make prior arrangements for inspection at the airport. An ISO (International Organization for Standardization) microchip for export. For easy reference, the National Companion Animal Coalition's website lists companies that manufacture ISO-compatible microchips. If you have any question about information on this page, please contact the CFIA District Office in your area.", + "query_id": "16c1754f-92e9-4f5d-a215-a485b245530b", + "subtitle": "Export of Dogs and Cats to French Polynesia", + "last_updated": "2017-05-17", + "tokens_count": 365 + } +] diff --git a/tests/output/individual_scoring.csv b/tests/output/individual_scoring.csv new file mode 100644 index 0000000..2c16c3c --- /dev/null +++ b/tests/output/individual_scoring.csv @@ -0,0 +1,26566 @@ +entity_id,current,recency,traffic,typicality,avg +1bc6def7-339e-49cf-996c-8559c8f074b0,1.0,0.8294036718602102,0.08711416212970638,0.0012760527435133986,0.47944847168335747 +aec4f091-a7c8-4835-bee9-2e2d7685f680,0.0,0.4140545170895918,0.0,0.0,0.4140545170895918 +d1c0f663-8fc3-4f1c-a1c8-a8ed87530cd8,0.0,0.5974835135629655,0.0,0.0,0.5974835135629655 +dffdbf8b-d514-4113-989f-48e78eac91b5,0.0,0.2780790107490266,0.0,0.0,0.2780790107490266 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self.connection.rollback() self.connection.close() - def test_match_documents_text_query(self): - with db.cursor(self.connection) as cursor: - docs = api.match_documents_from_text_query( - cursor, - 'what are the cooking temperatures for e.coli?') - self.connection.rollback() - self.assertEqual(len(docs), 10) - - # obsoleted by weighted search - # def test_president_of_cfia(self): - # with db.cursor(self.connection) as cursor: - # docs = api.match_documents_from_text_query( - # cursor, 'who is the president of the CFIA?') - # self.connection.rollback() - # self.assertEqual( - # docs[0]['title'], - # 'Dr. Harpreet S. Kochhar - Canadian Food Inspection Agency') - def test_weighted_search(self): with open('tests/embeddings/president.json') as f: embeddings = json.load(f) query = 'who is the president of the CFIA?' weights = json.dumps( - {'similarity': 0.6, 'recency': 0.2, 'traffic': 0.0, 'current': 0.1}) + {'similarity': 1.0, 'typicality': 0.2, 'recency': 1.0, 'traffic': 1.0, 'current': 0.5}) self.cursor.execute( "SELECT * FROM search(%s, %s::vector, %s::float, %s::integer, %s::jsonb)", ( query, embeddings, test.MATCH_THRESHOLD, test.MATCH_COUNT, weights)) @@ -61,7 +42,7 @@ def test_weighted_search(self): self.assertEqual(len(result[0]['result']), test.MATCH_COUNT) def test_weighted_search_with_empty_query(self): - weights = json.dumps({ 'recency': 0.4, 'traffic': 0.4, 'current': 0.2}) + weights = json.dumps({'similarity': 1.0, 'typicality': 0.2, 'recency': 1.0, 'traffic': 1.0, 'current': 0.5}) self.cursor.execute( "SELECT * FROM search(%s, %s::vector, %s::float, %s::integer, %s::jsonb)", ( None, None, test.MATCH_THRESHOLD, test.MATCH_COUNT, weights)) @@ -71,4 +52,4 @@ def test_weighted_search_with_empty_query(self): self.assertEqual( len(urls.keys()), test.MATCH_COUNT, - "All urls should be unique") \ No newline at end of file + "All urls should be unique") diff --git a/tests/test_db_crawler.py b/tests/test_db_crawler.py index 63db26c..2eb9df5 100644 --- a/tests/test_db_crawler.py +++ b/tests/test_db_crawler.py @@ -1,8 +1,8 @@ """test database functions""" import unittest -import louis.db as db -import louis.db.crawler as crawler +import ailab.db as db +import ailab.db.crawler as crawler import testing_utils as test @@ -74,4 +74,4 @@ def test_fetch_chunk_id_without_embedding(self): cursor.execute(test.embedding_table.format(embedding_model='test-model')) rows = crawler.fetch_chunk_id_without_embedding(cursor, 'test-model') _entity_id = rows[0] - self.connection.rollback() \ No newline at end of file + self.connection.rollback() diff --git a/tests/test_db_data.py b/tests/test_db_data.py index 7bc9f0e..cf04789 100644 --- a/tests/test_db_data.py +++ b/tests/test_db_data.py @@ -1,9 +1,6 @@ import unittest -import psycopg -from psycopg.rows import dict_row - -import testing_utils as test +import ailab.db as db class TestDBData(unittest.TestCase): @@ -12,9 +9,9 @@ def execute(self, filename): self.cursor.execute(query) def setUp(self): - self.connection = psycopg.connect(test.LOUIS_DSN) - self.cursor = self.connection.cursor(row_factory=dict_row) - self.cursor.execute("SET search_path TO louis_v004, public") + self.connection = db.connect_db() + self.cursor = db.cursor(self.connection) + self.cursor.execute("SET search_path TO louis_v005, public") def tearDown(self): self.connection.rollback() @@ -23,14 +20,14 @@ def tearDown(self): def upgrade_schema(self): return - if test.LOUIS_SCHEMA == 'louis_v004': - self.execute('sql/2023-07-11-hotfix-xml-not-well-formed.sql') - self.execute('sql/2023-07-11-populate-link.sql') - self.execute('sql/2023-07-12-score-current.sql') - self.execute('sql/2023-07-19-modify-score_type-add-similarity.sql') - self.execute('sql/2023-07-19-modified-documents.sql') - self.execute('sql/2023-07-19-weighted_search.sql') - self.execute('sql/2023-07-21-default_chunk.sql') + # if test.LOUIS_SCHEMA == 'louis_v005': + # self.execute('sql/2023-07-11-hotfix-xml-not-well-formed.sql') + # self.execute('sql/2023-07-11-populate-link.sql') + # self.execute('sql/2023-07-12-score-current.sql') + # self.execute('sql/2023-07-19-modify-score_type-add-similarity.sql') + # self.execute('sql/2023-07-19-modified-documents.sql') + # self.execute('sql/2023-07-19-weighted_search.sql') + # self.execute('sql/2023-07-21-default_chunk.sql') def test_well_formed_xml(self): self.upgrade_schema() @@ -42,13 +39,13 @@ def test_well_formed_xml(self): result = self.cursor.fetchall() self.assertEqual(result[0]['count'], 0, "All xml should be well formed") - def test_every_crawl_doc_should_have_at_least_one_chunk(self): - # self.execute('sql/2023-08-09-issue8-html_content-table.sql') - self.cursor.execute(""" - select count(*) - from crawl left join documents on crawl.id = documents.id - where documents.id is null""") - result = self.cursor.fetchall() - self.assertEqual( - result[0]['count'], 0, - "Every crawl doc should have at least one chunk") + # def test_every_crawl_doc_should_have_at_least_one_chunk(self): + # # self.execute('sql/2023-08-09-issue8-html_content-table.sql') + # self.cursor.execute(""" + # select count(*) + # from crawl left join documents on crawl.id = documents.id + # where documents.id is null""") + # result = self.cursor.fetchall() + # self.assertEqual( + # result[0]['count'], 0, + # "Every crawl doc should have at least one chunk") diff --git a/tests/test_db_generate_qna.py b/tests/test_db_generate_qna.py new file mode 100644 index 0000000..2f6d652 --- /dev/null +++ b/tests/test_db_generate_qna.py @@ -0,0 +1,95 @@ +import os +import sys +import unittest +import json +import tempfile +import shutil +from unittest.mock import patch + +sys.path.append( + os.path.abspath(os.path.join(os.path.dirname(__file__), "..")) +) # noqa: E402 +from bin.generate_qna import generate_question # noqa: E402 + + +class TestScript(unittest.TestCase): + def setUp(self): + self.prompt_path = "/ailab/db/finesse/prompt" + + @patch("bin.generate_qna.openai.get_chat_answer") + @patch("bin.generate_qna.get_random_chunk") + @patch("bin.generate_qna.db.connect_db") + def test_generate_question( + self, mock_connect_db, mock_get_random_chunk, mock_get_chat_answer + ): + system_prompt = "test system prompt" + user_prompt = "test user prompt" + json_template = "test json template" + project_db = mock_connect_db.return_value + + mock_get_random_chunk.return_value = [ + {"title": "test title", "text_content": "test content"} + ] + + class MockResponse: + def __init__(self, choices): + self.choices = choices + + class MockChoice: + def __init__(self, message): + self.message = message + + class MockMessage: + def __init__(self, content): + self.content = content + + mock_get_chat_answer.return_value = MockResponse( + [MockChoice(MockMessage(json.dumps({"test_key": "test_value"})))] + ) + + # Create a temporary directory + test_dir = tempfile.mkdtemp() + + try: + self.assertIsNotNone( + generate_question(system_prompt, user_prompt, json_template, project_db) + ) + # Print the contents of the files + # for filename in os.listdir(test_dir): + # with open(os.path.join(test_dir, filename), "r") as file: + # print(f"Contents of {filename}:") + # print(file.read()) + finally: + # Remove the temporary directory after the test + shutil.rmtree(test_dir) + + @patch("bin.generate_qna.openai.get_chat_answer") + @patch("bin.generate_qna.get_random_chunk") + @patch("bin.generate_qna.db.connect_db") + def test_generate_question_db_connection_fail( + self, mock_connect_db, mock_get_random_chunk, mock_get_chat_answer + ): + system_prompt = "test system prompt" + user_prompt = "test user prompt" + json_template = "test json template" + mock_connect_db.return_value = None # Simulate a failed DB connection + + # Create a temporary directory + test_dir = tempfile.mkdtemp() + + try: + self.assertIsNone( + generate_question( + system_prompt, + user_prompt, + json_template, + mock_connect_db.return_value, + ) + ) + finally: + # Remove the temporary directory after the test + shutil.rmtree(test_dir) + + +if __name__ == "__main__": + unittest.main() diff --git a/tests/test_db_schema.py b/tests/test_db_schema.py index e8ee7eb..25aa2d3 100644 --- a/tests/test_db_schema.py +++ b/tests/test_db_schema.py @@ -1,8 +1,7 @@ """test database functions""" import unittest -import testing_utils as test -import louis.db as db +import ailab.db as db class TestDBSchema(unittest.TestCase): @@ -13,12 +12,12 @@ def setUp(self): def tearDown(self): self.connection.close() - def test_schema(self): - """sample test to check if the schema is correct and idempotent""" - schema_filename = f"dumps/{test.LOUIS_SCHEMA}/schema.sql" - with open(schema_filename, encoding='utf-8') as schema_file: - schema = schema_file.read() - schema = schema.replace(test.LOUIS_SCHEMA, 'test') - with db.cursor(self.connection) as cursor: - cursor.execute(schema) - self.connection.rollback() \ No newline at end of file + # def test_schema(self): + # """sample test to check if the schema is correct and idempotent""" + # schema_filename = f"dumps/{test.LOUIS_SCHEMA}/schema.sql" + # with open(schema_filename, encoding='utf-8') as schema_file: + # schema = schema_file.read() + # schema = schema.replace(test.LOUIS_SCHEMA, 'test') + # with db.cursor(self.connection) as cursor: + # cursor.execute(schema) + # self.connection.rollback() diff --git a/tests/test_db_utils.py b/tests/test_db_utils.py index 7194cea..ba71638 100644 --- a/tests/test_db_utils.py +++ b/tests/test_db_utils.py @@ -2,7 +2,7 @@ import unittest import testing_utils as test -import louis.db as db +import ailab.db as db class TestDBUtils(unittest.TestCase): @@ -25,4 +25,4 @@ def test_create_postgresql_url(self): self.assertEqual(parsed['dbname'], "inspection.canada.ca") self.assertEqual(parsed['tablename'], "chunk") self.assertEqual(parsed['id'], entity_uuid) - self.assertEqual(parsed['parameters']['encoding'][0], "cl100k_base") \ No newline at end of file + self.assertEqual(parsed['parameters']['encoding'][0], "cl100k_base")