From d8ae96cfb10ea792254d2e946af67ef2bd2760f2 Mon Sep 17 00:00:00 2001 From: 100mi Date: Sun, 10 Sep 2023 16:41:32 +0530 Subject: [PATCH] feat: Add logging and update to ydata_profiling --- .Dockerignore | 11 +- .gitignore | 6 +- .pre-commit-config.yaml | 2 +- Dockerfile | 30 +- Dockerfile.dev | 11 +- app/api/api_v1/routers/profile.py | 2 +- app/core/config.py | 7 + app/core/logging.py | 56 + app/models/analysis.py | 5 +- app/models/correlations.py | 1 + app/models/duplicates.py | 6 +- app/models/package.py | 4 +- app/models/scatter.py | 4 +- app/models/variables.py | 4 +- app/utils/dataframes.py | 48 +- app/utils/profile_db.py | 25 +- app/utils/profile_segments.py | 54 +- app/utils/tasks.py | 11 +- docker-compose-dev.yml | 97 + docker-compose.yml | 29 +- poetry.lock | 4376 +++++++++++++++++------------ pyproject.toml | 9 +- 22 files changed, 2954 insertions(+), 1844 deletions(-) create mode 100644 app/core/logging.py create mode 100644 docker-compose-dev.yml diff --git a/.Dockerignore b/.Dockerignore index 2b78232..fb649bc 100644 --- a/.Dockerignore +++ b/.Dockerignore @@ -78,6 +78,7 @@ target/ # Virtual environment .venv/ venv/ +.vscode/ # PyCharm .idea @@ -101,7 +102,6 @@ venv/ README.md # Library dependecy metadata -poetry.lock # github workflows .github/ @@ -112,4 +112,11 @@ poetry.lock volumes/ # Task -tasks/ \ No newline at end of file +tasks/ + +# Example +app/example/ + +# Gitpod +scripts/gitpod* +scripts/codespaces* \ No newline at end of file diff --git a/.gitignore b/.gitignore index 16317f6..b6ba7a9 100644 --- a/.gitignore +++ b/.gitignore @@ -162,6 +162,7 @@ cython_debug/ !.vscode/launch.json !.vscode/extensions.json !.vscode/*.code-snippets +.vscode # Local History for Visual Studio Code .history/ @@ -175,4 +176,7 @@ cython_debug/ .ionide # End of https://www.toptal.com/developers/gitignore/api/visualstudiocode -n \ No newline at end of file +n + +# Example +app/example/ \ No newline at end of file diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index aebb248..6a01e32 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -9,6 +9,6 @@ repos: hooks: - id: flake8 - repo: https://github.com/timothycrosley/isort - rev: 5.9.3 + rev: 5.12.0 hooks: - id: isort \ No newline at end of file diff --git a/Dockerfile b/Dockerfile index a39bf04..b4ab064 100644 --- a/Dockerfile +++ b/Dockerfile @@ -1,22 +1,20 @@ -FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9 +FROM python:3.10-slim-buster as requirements-stage -WORKDIR /app +WORKDIR /tmp +RUN pip install poetry +COPY ./pyproject.toml ./poetry.lock* /tmp/ -ENV POETRY_VERSION=1.2.0 +RUN mkdir -p /tmp/app +COPY ./app /tmp/app -# Install Poetry -RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ - cd /usr/local/bin && \ - ln -s /opt/poetry/bin/poetry && \ - poetry config experimental.new-installer false && \ - poetry config virtualenvs.create false +RUN poetry export -f requirements.txt --output requirements.txt --without-hashes -# Copy poetry.lock* in case it doesn't exist in the repo -COPY ./pyproject.toml ./poetry.lock* / -# Allow installing dev dependencies to run tests -ARG INSTALL_DEV=false -RUN bash -c "if [ $INSTALL_DEV == 'true' ] ; then poetry install --no-root ; else poetry install --no-root --no-dev ; fi" +FROM python:3.10-slim-buster -COPY . . -ENV PYTHONPATH=/app \ No newline at end of file +WORKDIR /code + +COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt +RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt + +COPY --from=requirements-stage /tmp/app /code/app \ No newline at end of file diff --git a/Dockerfile.dev b/Dockerfile.dev index a39bf04..fe9ebd1 100644 --- a/Dockerfile.dev +++ b/Dockerfile.dev @@ -1,22 +1,19 @@ -FROM tiangolo/uvicorn-gunicorn-fastapi:python3.9 +FROM tiangolo/uvicorn-gunicorn-fastapi:python3.10 WORKDIR /app -ENV POETRY_VERSION=1.2.0 - # Install Poetry -RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=/opt/poetry python && \ +RUN curl -sSL https://install.python-poetry.org/ | POETRY_HOME=/opt/poetry python && \ cd /usr/local/bin && \ ln -s /opt/poetry/bin/poetry && \ - poetry config experimental.new-installer false && \ poetry config virtualenvs.create false # Copy poetry.lock* in case it doesn't exist in the repo -COPY ./pyproject.toml ./poetry.lock* / +COPY ./pyproject.toml / # Allow installing dev dependencies to run tests ARG INSTALL_DEV=false -RUN bash -c "if [ $INSTALL_DEV == 'true' ] ; then poetry install --no-root ; else poetry install --no-root --no-dev ; fi" +RUN bash -c "if [ $INSTALL_DEV == 'true' ] ; then poetry install --no-root ; else poetry install --no-root --only main ; fi" COPY . . ENV PYTHONPATH=/app \ No newline at end of file diff --git a/app/api/api_v1/routers/profile.py b/app/api/api_v1/routers/profile.py index bb7ce23..a8202fd 100644 --- a/app/api/api_v1/routers/profile.py +++ b/app/api/api_v1/routers/profile.py @@ -2,7 +2,7 @@ from typing import List from fastapi import APIRouter, Depends -from pandas_profiling import ProfileReport +from ydata_profiling import ProfileReport from app.core.config import Settings from app.models.alerts import Alerts diff --git a/app/core/config.py b/app/core/config.py index 8572f9b..ae9d45b 100644 --- a/app/core/config.py +++ b/app/core/config.py @@ -46,5 +46,12 @@ class Settings(BaseSettings): # PROFILE SEGMENTS SAMPLE_DATA_RENDERER: List[str] = ["head"] + # LOGGING SETTINGS + LOG_LEVEL: str = "DEBUG" + LOG_FILE_PATH: str = "logs/app.log" + LOG_FILE_SIZE: int = 100_000_000 # 100MB + LOG_FILE_BACKUP_COUNT: int = 5 + LOG_FORMAT: str = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + class Config: env_file = ".env" diff --git a/app/core/logging.py b/app/core/logging.py new file mode 100644 index 0000000..27b3764 --- /dev/null +++ b/app/core/logging.py @@ -0,0 +1,56 @@ +import logging +import logging.config +import os + +from app.core.config import Settings + +settings = Settings() + +# Create the logs directory if it doesn't exist +log_directory = os.path.dirname(settings.LOG_FILE_PATH) +if not os.path.exists(log_directory): + os.makedirs(log_directory) + +# Configuration dictionary for logging +LOGGING_CONFIG = { + "version": 1, + "disable_existing_loggers": False, + "formatters": { + "default": { + "format": "%(asctime)s [%(levelname)s] [%(name)s:%(lineno)d] - %(message)s", # noqa: E501 + "datefmt": "%Y-%m-%d %H:%M:%S", + }, + }, + "handlers": { + "console": { + "class": "rich.logging.RichHandler", + "level": settings.LOG_LEVEL, + }, + }, + "loggers": { + "": { + "level": settings.LOG_LEVEL, + "handlers": ["console"], + "propagate": True, + }, + "celery": { + "level": settings.LOG_LEVEL, + "handlers": ["console"], + "propagate": True, + }, + }, +} + +# Load the logging configuration +logging.config.dictConfig(LOGGING_CONFIG) + + +def get_logger(name: str) -> logging.Logger: + """ + Get a logger with the specified name. + Args: + name (str): The name of the logger. + Returns: + logging.Logger: The logger instance. + """ + return logging.getLogger(name) diff --git a/app/models/analysis.py b/app/models/analysis.py index 65d1f2f..b8338fd 100644 --- a/app/models/analysis.py +++ b/app/models/analysis.py @@ -1,4 +1,4 @@ -from datetime import datetime, timedelta +from datetime import datetime from pydantic.main import BaseModel @@ -7,7 +7,8 @@ class Analysis(BaseModel): title: str date_start: datetime date_end: datetime - duration: timedelta + # TIME DELTA IS REMOVED IN PROFILING VERSION 4 AND ABOVE + # duration: timedelta class Config: underscore_attrs_are_private = True diff --git a/app/models/correlations.py b/app/models/correlations.py index d608c54..b949448 100644 --- a/app/models/correlations.py +++ b/app/models/correlations.py @@ -11,6 +11,7 @@ class Correlations(BaseModel): kendall: Optional[Union[Json, Dict]] cramers: Optional[Union[Json, Dict]] phi_k: Optional[Union[Json, Dict]] + # auto: Optional[Union[Json, Dict, Any]] class Config: underscore_attrs_are_private = True diff --git a/app/models/duplicates.py b/app/models/duplicates.py index 8923195..67b34a6 100644 --- a/app/models/duplicates.py +++ b/app/models/duplicates.py @@ -1,7 +1,7 @@ -from typing import Union +from typing import Any -from pydantic import BaseModel, Json +from pydantic import BaseModel class Duplicates(BaseModel): - __root__: Union[Json, str] + __root__: Any diff --git a/app/models/package.py b/app/models/package.py index 7d2599d..0e3499d 100644 --- a/app/models/package.py +++ b/app/models/package.py @@ -4,8 +4,8 @@ class Package(BaseModel): - pandas_profiling_version: str - pandas_profiling_config: str + ydata_profiling_version: str + ydata_profiling_version: str class Config: underscore_attrs_are_private = True diff --git a/app/models/scatter.py b/app/models/scatter.py index 969fa1f..cb513f7 100644 --- a/app/models/scatter.py +++ b/app/models/scatter.py @@ -1,7 +1,9 @@ from __future__ import annotations +from typing import Any, Dict + from pydantic import BaseModel class Scatter(BaseModel): - pass + data: Dict[str, Any] diff --git a/app/models/variables.py b/app/models/variables.py index 6b0906a..73d590c 100644 --- a/app/models/variables.py +++ b/app/models/variables.py @@ -29,8 +29,8 @@ class VariableProperties(BaseModel): mean: Optional[float] std: Optional[float] variance: Optional[float] - min: Optional[int] - max: Optional[float] + min: Optional[Any] + max: Optional[Any] kurtosis: Optional[float] skewness: Optional[float] sum: Optional[float] diff --git a/app/utils/dataframes.py b/app/utils/dataframes.py index e3fda9f..fa1c908 100644 --- a/app/utils/dataframes.py +++ b/app/utils/dataframes.py @@ -7,13 +7,14 @@ import polars.exceptions as pl_exc import s3fs from charset_normalizer import from_bytes -from fastapi.logger import logger from numpy import bool_ from requests import get from app.core.config import Settings +from app.core.logging import get_logger setting = Settings() +logger = get_logger(__name__) def get_encoding(obj: Union[str, bytes], is_object=False) -> str: @@ -50,7 +51,8 @@ async def get_dataframe_honouring_encoding_async( try: df = pl.read_csv(source, null_values="NA", infer_schema_length=0) except (UnicodeDecodeError, pl_exc.ComputeError) as err: - logger.error(f"Could not interpret File encoding : {err}") + logger.warning(f"File encoding is not default: {err}") + logger.warning("Trying to read file with proper encoding") encoding = get_encoding(obj=source, is_object=is_object) logger.info(f"File encoding : {encoding}") df = pl.read_csv( @@ -122,7 +124,9 @@ async def get_dataframe_async(file_url: str): url = urlparse(file_url) if url.scheme == "http" or url.scheme == "https": + logger.info("Check for files with http/https extension") df = await get_dataframe_honouring_encoding_async(file_url) + logger.info("Dataframe generated from http/https file") return df elif url.scheme == "s3": @@ -132,12 +136,19 @@ async def get_dataframe_async(file_url: str): secret=setting.S3_SECRET_ACCESS_KEY, client_kwargs={"endpoint_url": setting.S3_ENDPOINT_URL}, ) - - with fs.open(f"{url.netloc}{url.path}", "rb") as f: - obj = f.read() - - df = await get_dataframe_honouring_encoding_async(obj, is_object=True) - return df + try: + with fs.open(f"{url.netloc}{url.path}", "rb") as f: + obj = f.read() + logger.info(f"File read from s3 : {url.path}") + except Exception as err: + logger.error("Could not read file from s3") + raise err + else: + df = await get_dataframe_honouring_encoding_async( + obj, is_object=True + ) + logger.info("Dataframe generated from s3 file") + return df def get_dataframe(file_url: str): @@ -156,7 +167,9 @@ def get_dataframe(file_url: str): url = urlparse(file_url) if url.scheme == "http" or url.scheme == "https": + logger.info("Check for files with http/https extension") df = get_dataframe_honouring_encoding(source=file_url, is_object=False) + logger.info("Dataframe generated from http/https file") return df elif url.scheme == "s3": @@ -166,10 +179,15 @@ def get_dataframe(file_url: str): secret=setting.S3_SECRET_ACCESS_KEY, client_kwargs={"endpoint_url": setting.S3_ENDPOINT_URL}, ) - - with fs.open(f"{url.netloc}{url.path}", "rb") as f: - file_content = f.read() - df = get_dataframe_honouring_encoding( - source=file_content, is_object=True - ) - return df + try: + with fs.open(f"{url.netloc}{url.path}", "rb") as f: + file_content = f.read() + except Exception as err: + logger.error("Could not read file from s3") + raise err + else: + df = get_dataframe_honouring_encoding( + source=file_content, is_object=True + ) + logger.info("Dataframe generated from s3 file") + return df diff --git a/app/utils/profile_db.py b/app/utils/profile_db.py index 328d22e..463a21e 100644 --- a/app/utils/profile_db.py +++ b/app/utils/profile_db.py @@ -1,19 +1,24 @@ from typing import Any, Dict, List, Union from fastapi.encoders import jsonable_encoder -from pandas_profiling import ProfileReport +from ydata_profiling import ProfileReport from app.core.config import Settings +from app.core.logging import get_logger from app.db.mongo import profiles_collection from app.utils.dataframes import get_dataframe_async from app.utils.profile_segments import ProfileSegments setting = Settings() +logger = get_logger(__name__) # TODO: return status after saving to MongoDB async def save_profile( - url: str, minimal: bool = True, samples_to_fetch: int = 10 + url: str, + minimal: bool = True, + samples_to_fetch: int = 10, + round_to: int = 3, ): """Save Profile to MongoDB @@ -26,8 +31,14 @@ async def save_profile( """ dataframe = await get_dataframe_async(url) + if dataframe is None or dataframe.is_empty(): + raise ValueError( + f"Unable to fetch dataframe for url or Dataframe is Null: {url}" + ) if dataframe.shape[0] < 100: + logger.info(f"Dataset has less than 100 rows: {dataframe.shape[0]}") + logger.info("Samples to fetch set to 5") samples_to_fetch = 5 profile = ProfileReport( @@ -39,7 +50,9 @@ async def save_profile( ) # use `ProfileSegments` to get duplicates part of pandas profiling - profile_segment = ProfileSegments(profile, columns=list(dataframe.columns)) + profile_segment = ProfileSegments( + profile, columns=list(dataframe.columns), round_to=round_to + ) description = profile_segment.description() @@ -51,7 +64,7 @@ async def save_profile( await profiles_collection.update_one( {"url": url}, {"$set": jsonable_encoder(description)}, upsert=True ) - + logger.info(f"Profile Prefetched for: {url}") return description @@ -68,6 +81,7 @@ async def filter_descriptions_with_attrs( Dict[str, Any]: Pandas Profile with selected attributes """ # If filter is None then take all descriptions else pass only required onces + logger.info(f"Filtering description with attrs: {attrs}") if attrs: return {attr: description[attr] for attr in attrs} return description @@ -95,6 +109,7 @@ async def get_profile( """ # Get the profile from MongoDB + logger.info(f"Fetching Profile if exist for: {url}") description = await profiles_collection.find_one({"url": url}) # check what instances are required from description @@ -102,12 +117,14 @@ async def get_profile( # Return the profile if exists in MongoDB if description: + logger.info(f"Profile exist for: {url}") if segment == "description": return await filter_descriptions_with_attrs(attrs, description) # {attr: description[attr] for attr in attrs.split(",")} else: return description[segment] + logger.info(f"Profile does not exist for: {url}") # 1. Generate the profile from scratch # 2. Save to MongoDB for subsequent requests description = await save_profile(url, minimal, samples_to_show) diff --git a/app/utils/profile_segments.py b/app/utils/profile_segments.py index 97f2141..110ca59 100644 --- a/app/utils/profile_segments.py +++ b/app/utils/profile_segments.py @@ -1,6 +1,6 @@ import datetime import json -from typing import List, Union +from typing import Any, Dict, List, Union import numpy as np from numpy import bool_ @@ -8,17 +8,12 @@ from pydantic import parse_obj_as from app.core.config import Settings -from app.models.alerts import Alerts from app.models.analysis import Analysis -from app.models.correlations import Correlations -from app.models.description import Description -from app.models.duplicates import Duplicates from app.models.missing import Missing from app.models.package import Package from app.models.sample import Sample from app.models.scatter import Scatter from app.models.table import Table -from app.models.variables import Variables settings = Settings() @@ -43,66 +38,63 @@ def json_conversion_objects(obj): class ProfileSegments: - def __init__(self, pandas_profile, columns=None): + def __init__(self, pandas_profile, columns=None, round_to=3): """ Pass pandas profile of a dataset as argument """ self.pandas_profile = pandas_profile self.profile_description = pandas_profile.get_description() self.col_order = columns + self.round_to = round_to - def analysis(self) -> Analysis: + def analysis(self) -> Dict: return parse_obj_as( - Analysis, self.profile_description["analysis"] + Analysis, self.profile_description.analysis.__dict__ ).dict() - def table(self) -> Table: - return parse_obj_as(Table, self.profile_description["table"]).dict() + def table(self) -> Dict: + return parse_obj_as(Table, self.profile_description.table).dict() - def variables(self) -> Variables: + def variables(self) -> Dict: # get variables variables = json.dumps( - self.profile_description["variables"], + self.profile_description.variables, default=json_conversion_objects, ).replace("NaN", '"NaN"') mod_var = json.loads(variables) return mod_var - def scatter(self) -> Scatter: + def scatter(self) -> Dict: return parse_obj_as( - Scatter, self.profile_description["scatter"] + Scatter, {"data": self.profile_description.scatter} ).dict() - def correlations(self) -> Correlations: + def correlations(self) -> Dict[str, Any]: # get correlations - correlation = self.profile_description.get("correlations", {}) + correlation = self.profile_description.correlations modified_corr = {} for each_corr in correlation: modified_corr[each_corr] = correlation[each_corr].to_json() return modified_corr - def missing(self) -> Missing: - return parse_obj_as( - Missing, self.profile_description["missing"] - ).dict() + def missing(self) -> Dict: + return parse_obj_as(Missing, self.profile_description.missing).dict() - def alerts(self) -> Alerts: + def alerts(self) -> List[str]: all_alerts = [] - provided_alerts = self.profile_description.get("alerts", []) + provided_alerts = self.profile_description.alerts for each_alert in provided_alerts: all_alerts.append(f"{each_alert}") return all_alerts - def package(self) -> Package: - return parse_obj_as( - Package, self.profile_description["package"] - ).dict() + def package(self) -> Dict: + return parse_obj_as(Package, self.profile_description.package).dict() def samples(self) -> List[Sample]: # get samples - samples = self.pandas_profile.get_sample() + samples = self.profile_description.sample for sample in samples: - sample.data = sample.data.to_json() + sample.data = sample.data.round(decimals=self.round_to).to_json() # * 'head' and 'tail' are returned as dataset sample # * use env variable to select `hear` or `tail` or `both` return [ @@ -111,7 +103,7 @@ def samples(self) -> List[Sample]: if sample.id in settings.SAMPLE_DATA_RENDERER ] - def duplicates(self) -> Duplicates: + def duplicates(self) -> Union[str, Dict]: # get duplicates duplicates = self.pandas_profile.get_duplicates() if isinstance(duplicates, DataFrame): @@ -123,7 +115,7 @@ def duplicates(self) -> Duplicates: def columns(self) -> Union[List[str], None]: return self.col_order - def description(self, attrs: Union[str, None] = None) -> Description: + def description(self, attrs: Union[str, None] = None) -> Dict: # require comma separated values for segments that are required to fetch if attrs is not None: attr_func_mapper = { diff --git a/app/utils/tasks.py b/app/utils/tasks.py index ed90556..c85307f 100644 --- a/app/utils/tasks.py +++ b/app/utils/tasks.py @@ -1,11 +1,14 @@ from fastapi.encoders import jsonable_encoder -from pandas_profiling import ProfileReport +from ydata_profiling import ProfileReport +from app.core.logging import get_logger from app.db.mongo import profiles_collection from app.utils.dataframes import get_dataframe from app.utils.profile_segments import ProfileSegments from app.worker import celery +logger = get_logger(__name__) + @celery.task(name="prefetch_profile") def prefetch_profile( @@ -22,8 +25,11 @@ def prefetch_profile( """ dataframe = get_dataframe(url) + logger.info(f"Prefetching Profile for: {url}") if dataframe.shape[0] < 100: + logger.info(f"Dataset has less than 100 rows: {dataframe.shape[0]}") + logger.info("Samples to fetch set to 5") samples_to_fetch = 5 profile = ProfileReport( @@ -46,7 +52,7 @@ def prefetch_profile( profiles_collection.update_one( {"url": url}, {"$set": jsonable_encoder(description)}, upsert=True ) - + logger.info(f"Profile Prefetched for: {url}") return @@ -65,6 +71,7 @@ def prefetch_profiles( """ for url in urls: + logger.info(f"Added to Queue: {url}") prefetch_profile.delay(url, minimal, samples_to_fetch) return diff --git a/docker-compose-dev.yml b/docker-compose-dev.yml new file mode 100644 index 0000000..50a41f1 --- /dev/null +++ b/docker-compose-dev.yml @@ -0,0 +1,97 @@ +version: "3.7" + +services: + + ########################################################################## + ###### BACKGROUND TASKS ####### + ########################################################################## + + redis: + image: redis:alpine + ports: + - 6379:6379 + volumes: + - ./volumes/redis:/data + command: > + /bin/sh -c " + redis-server --appendonly yes --requirepass password + " + networks: + - hunting + + celery: + build: + context: . + dockerfile: Dockerfile.dev + env_file: + - .env + volumes: + - .:/app + command: > + /bin/sh -c " + celery -A app.worker worker -l info + " + depends_on: + - redis + networks: + - hunting + + flower: + build: + context: . + dockerfile: Dockerfile.dev + command: > + /bin/sh -c " + celery -A app.worker flower --port=5555 + " + ports: + - 5555:5555 + environment: + - CELERY_BROKER_URL=redis://:password@redis:6379/0 + - CELERY_RESULT_BACKEND=redis://:password@redis:6379/0 + depends_on: + - redis + - celery + networks: + - hunting + + ########################################################################## + ###### DATABASES ####### + ########################################################################## + mongodb: + image: mongo:6.0.3 + environment: + MONGO_INITDB_ROOT_USERNAME: root + MONGO_INITDB_ROOT_PASSWORD: example + ports: + - 27017:27017 + volumes: + - ./volumes/mongodb/:/data/db/ + networks: + - hunting + + ########################################################################## + ###### HUNTING SERVER ####### + ########################################################################## + hunting-server: + ports: + - 8000:8000 + build: + context: . + dockerfile: Dockerfile.dev + command: > + /bin/sh -c " + uvicorn app.main:app --reload --host 0.0.0.0; + " + volumes: + - .:/app + env_file: + - .env + depends_on: + - redis + networks: + - hunting + + +networks: + hunting: \ No newline at end of file diff --git a/docker-compose.yml b/docker-compose.yml index 1ad2557..133a0ec 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -9,10 +9,11 @@ services: redis: image: redis:alpine ports: - - 6379:6379 - volumes: - - ./volumes/redis:/data - command: redis-server --appendonly yes --requirepass password + - 6379:6379 + command: > + /bin/sh -c " + redis-server --appendonly yes --requirepass password + " networks: - hunting @@ -22,19 +23,23 @@ services: dockerfile: Dockerfile.dev env_file: - .env - volumes: - - .:/app - command: celery -A app.worker worker -l info + command: > + /bin/sh -c " + celery -A app.worker worker -l info + " depends_on: - redis networks: - - hunting + - hunting flower: build: context: . dockerfile: Dockerfile.dev - command: celery -A app.worker flower --port=5555 + command: > + /bin/sh -c " + celery -A app.worker flower --port=5555 + " ports: - 5555:5555 environment: @@ -56,8 +61,6 @@ services: MONGO_INITDB_ROOT_PASSWORD: example ports: - 27017:27017 - volumes: - - ./volumes/mongodb/:/data/db/ networks: - hunting @@ -72,10 +75,8 @@ services: dockerfile: Dockerfile.dev command: > /bin/sh -c " - poetry run uvicorn app.main:app --reload --host 0.0.0.0; + uvicorn app.main:app --reload --host 0.0.0.0; " - volumes: - - .:/app env_file: - .env depends_on: diff --git a/poetry.lock b/poetry.lock index 09661b4..d840fc3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,10 +1,15 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + [[package]] name = "aiobotocore" -version = "2.4.0" +version = "2.4.2" description = "Async client for aws services using botocore and aiohttp" -category = "main" optional = false python-versions = ">=3.7" +files = [ + {file = "aiobotocore-2.4.2-py3-none-any.whl", hash = "sha256:4acd1ebe2e44be4b100aa553910bda899f6dc090b3da2bc1cf3d5de2146ed208"}, + {file = "aiobotocore-2.4.2.tar.gz", hash = "sha256:0603b74a582dffa7511ce7548d07dc9b10ec87bc5fb657eb0b34f9bd490958bf"}, +] [package.dependencies] aiohttp = ">=3.3.1" @@ -18,17 +23,105 @@ boto3 = ["boto3 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