diff --git a/.github/workflows/movies.yaml b/.github/workflows/movies.yaml new file mode 100644 index 0000000..db5d63e --- /dev/null +++ b/.github/workflows/movies.yaml @@ -0,0 +1,28 @@ +name: Update Movies Dataset + +on: + # Run this workflow once per day, at 0:15 UTC + schedule: [{ cron: "15 0 * * *" }] + # Run this workflow when triggered manually in GitHub’s UI. + workflow_dispatch: {} + +jobs: + deploy: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.11.4" + - name: Setup Poetry + uses: Gr1N/setup-poetry@v8 + with: + poetry-version: "1.7.1" + - run: poetry install --no-root + - run: poetry run python -m observatoire.tmdb.movies + env: + # Hugging Face credentials + HF_TOKEN: ${{ secrets.HF_TOKEN }} + # TMDB credentials + TMDB_API_KEY: ${{ secrets.TMDB_API_KEY }} + TMDB_MAX_RETRIES: ${{ secrets.TMDB_MAX_RETRIES }} diff --git a/.gitignore b/.gitignore index d379779..6c5e21f 100644 --- a/.gitignore +++ b/.gitignore @@ -162,4 +162,4 @@ cython_debug/ # Precommit hooks: ruff cache .ruff_cache .DS_Store -data/ \ No newline at end of file +data/ diff --git a/README.md b/README.md index 902d355..8d0ca1c 100644 --- a/README.md +++ b/README.md @@ -118,3 +118,12 @@ This repo includes invoke for pythonic task execution. To see the is of available tasks you can run: invoke -l + +# Updating the Movie Database + +The [French regional TMDB Movies Dataset](https://huggingface.co/datasets/DataForGood/observatoire_des_imaginaires_movies) +on Hugging Face can be updated using the following command: + +```bash +invoke update-movies-dataset +``` diff --git a/observatoire/__init__.py b/observatoire/__init__.py index e69de29..bf6bd6c 100644 --- a/observatoire/__init__.py +++ b/observatoire/__init__.py @@ -0,0 +1,3 @@ +from dotenv import load_dotenv + +load_dotenv() diff --git a/observatoire/tmdb/__init__.py b/observatoire/tmdb/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/observatoire/tmdb/config.py b/observatoire/tmdb/config.py new file mode 100644 index 0000000..05b3eca --- /dev/null +++ b/observatoire/tmdb/config.py @@ -0,0 +1,4 @@ +import os + +TMDB_API_KEY = os.getenv("TMDB_API_KEY") +TMDB_MAX_RETRIES = int(os.getenv("TMDB_MAX_RETRIES", "500")) diff --git a/observatoire/tmdb/data.py b/observatoire/tmdb/data.py new file mode 100644 index 0000000..2c479a1 --- /dev/null +++ b/observatoire/tmdb/data.py @@ -0,0 +1,212 @@ +import json + +import pandas as pd + + +def transform_movie_json(movie_json: list[str]) -> pd.DataFrame: # noqa: C901, PLR0915 + """ + Transforms the JSON data into a DataFrame + """ + + data = [] + unique_ids = set() + + # load the data + variations_to_ignore = [ + None, + "", + "NA", + "N/A", + "None", + "na", + "n/a", + "NULL", + "Not Available", + ] + + for line in movie_json: + line_in_json = json.loads(line) + + # TODO: format_list_to_str is too complex and should be refactored + def format_list_to_str(line_in_json: dict, formatted_data: dict) -> dict: # noqa: C901, PLR0912 + # convert genres list to str + + genres_str = None + genres_list = [] + try: + for genre in line_in_json["genres"]: + if genre["name"] is not any(variations_to_ignore): + genres_list.append(genre["name"]) + if len(genres_list) > 0: + genres_str = ", ".join(genres_list) + except Exception: + pass + + formatted_data["genres"] = genres_str + + # convert production_companies list to str + production_companies_str = None + production_companies_list = [] + try: + for company in line_in_json["production_companies"]: + if company["name"] is not any(variations_to_ignore): + production_companies_list.append(company["name"]) + if len(production_companies_list) > 0: + production_companies_str = ", ".join(production_companies_list) + except Exception: + pass + + formatted_data["production_companies"] = production_companies_str + + # convert production_countries list to str + production_countries_str = None + production_countries_list = [] + try: + for country in line_in_json["production_countries"]: + if country["name"] is not any(variations_to_ignore): + production_countries_list.append(country["name"]) + if len(production_countries_list) > 0: + production_countries_str = ", ".join(production_countries_list) + except Exception: + pass + + formatted_data["production_countries"] = production_countries_str + + # convert spoken_languages list to str + spoken_languages_str = None + spoken_languages_list = [] + try: + for language in line_in_json["spoken_languages"]: + if language["english_name"] is not any(variations_to_ignore): + spoken_languages_list.append(language["english_name"]) + if len(spoken_languages_list) > 0: + spoken_languages_str = ", ".join(spoken_languages_list) + except Exception: + pass + + formatted_data["spoken_languages"] = spoken_languages_str + + return formatted_data + + # format the data + + formatted_data = {} + + formatted_data["id"] = int(line_in_json["id"]) if line_in_json["id"] is not None else 0 + + formatted_data["title"] = ( + str(line_in_json["title"]) + if line_in_json["title"] is not any(variations_to_ignore) + else None + ) + formatted_data["vote_average"] = ( + float(line_in_json["vote_average"]) + if line_in_json["vote_average"] is not None + else 0.0 + ) + + formatted_data["vote_count"] = ( + int(line_in_json["vote_count"]) if line_in_json["vote_count"] is not None else 0 + ) + + formatted_data["status"] = ( + str(line_in_json["status"]) + if line_in_json["status"] is not any(variations_to_ignore) + else None + ) + + formatted_data["release_date"] = ( + str(line_in_json["release_date"]) + if line_in_json["release_date"] is not None and line_in_json["release_date"] != "" + else "1500-01-01" + ) + + formatted_data["revenue"] = ( + int(line_in_json["revenue"]) if line_in_json["revenue"] is not None else 0 + ) + + formatted_data["runtime"] = ( + int(line_in_json["runtime"]) if line_in_json["runtime"] is not None else 0 + ) + + formatted_data["adult"] = ( + bool(line_in_json["adult"]) if line_in_json["adult"] is not None else False + ) + + formatted_data["backdrop_path"] = ( + str(line_in_json["backdrop_path"]) + if line_in_json["backdrop_path"] is not any(variations_to_ignore) + else None + ) + + formatted_data["budget"] = ( + int(line_in_json["budget"]) if line_in_json["budget"] is not None else 0 + ) + + formatted_data["homepage"] = ( + str(line_in_json["homepage"]) + if line_in_json["homepage"] is not any(variations_to_ignore) + else None + ) + + formatted_data["imdb_id"] = ( + str(line_in_json["imdb_id"]) + if line_in_json["imdb_id"] is not any(variations_to_ignore) + else None + ) + + formatted_data["original_language"] = ( + str(line_in_json["original_language"]) + if line_in_json["original_language"] is not any(variations_to_ignore) + else None + ) + + formatted_data["original_title"] = ( + str(line_in_json["original_title"]) + if line_in_json["original_title"] is not any(variations_to_ignore) + else None + ) + + formatted_data["overview"] = ( + str(line_in_json["overview"]) + if line_in_json["overview"] is not any(variations_to_ignore) + else None + ) + + formatted_data["popularity"] = ( + float(line_in_json["popularity"]) if line_in_json["popularity"] is not None else 0.0 + ) + + formatted_data["poster_path"] = ( + str(line_in_json["poster_path"]) + if line_in_json["poster_path"] is not any(variations_to_ignore) + else None + ) + + formatted_data["tagline"] = ( + str(line_in_json["tagline"]) + if line_in_json["tagline"] is not any(variations_to_ignore) + else None + ) + + formatted_data["keywords"] = str(line_in_json["keywords"]) + try: + final_formatted_data = format_list_to_str(line_in_json, formatted_data) + except Exception: + continue + + # remove and newline chracters + updated_data = {} + for key, value in final_formatted_data.items(): + if isinstance(value, str): # Check if the value is a string + updated_value = value.replace("\n", " ").replace("\r", " ") + updated_data[key] = updated_value + else: + updated_data[key] = value + + # add the data to our local list + if updated_data["id"] not in unique_ids: + unique_ids.add(updated_data["id"]) + data.append(updated_data) + + return pd.DataFrame(data) diff --git a/observatoire/tmdb/helpers.py b/observatoire/tmdb/helpers.py new file mode 100644 index 0000000..84187d7 --- /dev/null +++ b/observatoire/tmdb/helpers.py @@ -0,0 +1,42 @@ +import json +import logging + +import pandas as pd + + +def parse_keywords(keywords: str) -> str: + """ + Parses the keywords into a list + """ + + keywords_dict = json.loads(keywords) + + keywords_list = [] + + for item in keywords_dict["keywords"]: + keywords_list.append(item["name"]) + + return ", ".join(keywords_list) + + +def merge(df_current: pd.DataFrame | None, df_latest: pd.DataFrame, logger: logging) -> None: + """ + Merge the current dataset with the new dataset + """ + logger.info("starting to merge new data with current dataframe") + + df_latest.replace({"Not Available": pd.NA, "1500-01-01": pd.NA, None: pd.NA}, inplace=True) + + # Concatenate the current dataset_df with the new df to merge the data + merged_df = pd.concat([df_current, df_latest]) if df_current is not None else df_latest + merged_df.reset_index(drop=True, inplace=True) + + # sort by id column + merged_df.sort_values(by="id", inplace=True) + + # Drop unnecessary columns + merged_df = merged_df.drop( + columns=[col for col in merged_df.columns if col.startswith("__")], + ) + + return merged_df diff --git a/observatoire/tmdb/hf.py b/observatoire/tmdb/hf.py new file mode 100644 index 0000000..1a420e2 --- /dev/null +++ b/observatoire/tmdb/hf.py @@ -0,0 +1,24 @@ +import pandas as pd +from datasets import Dataset, DatasetDict, load_dataset + + +def load_movies_dataset() -> pd.DataFrame | None: + try: + dataset = load_dataset( + "DataForGood/observatoire_des_imaginaires_movies", + split="train", + ) + dataset.cleanup_cache_files() + + # Load dataset into Pandas DataFrame + df = dataset.to_pandas() + except Exception: + df = None + + return df + + +def save_movies_dataset(df: pd.DataFrame) -> None: + dataset = Dataset.from_pandas(df, preserve_index=False) + dataset_dict = DatasetDict({"train": dataset}) + dataset_dict.push_to_hub("DataForGood/observatoire_des_imaginaires_movies") diff --git a/observatoire/tmdb/logger.py b/observatoire/tmdb/logger.py new file mode 100644 index 0000000..4faea32 --- /dev/null +++ b/observatoire/tmdb/logger.py @@ -0,0 +1,19 @@ +import logging + + +def setup_logger() -> logging: + # Create a logger for the current module + logger = logging.getLogger(__name__) + logger.setLevel(logging.INFO) + + # Define the log format + log_formatter = logging.Formatter( + "%(asctime)s | %(name)s | %(levelname)s | %(message)s", + ) + + # Create a stream handler to output log messages to the console + stream_handler = logging.StreamHandler() + stream_handler.setFormatter(log_formatter) + logger.addHandler(stream_handler) + + return logger diff --git a/observatoire/tmdb/movies.py b/observatoire/tmdb/movies.py new file mode 100644 index 0000000..06e92c5 --- /dev/null +++ b/observatoire/tmdb/movies.py @@ -0,0 +1,74 @@ +import concurrent.futures +import contextlib +import os + +from tqdm import tqdm + +from observatoire.tmdb.data import transform_movie_json +from observatoire.tmdb.helpers import merge +from observatoire.tmdb.hf import load_movies_dataset, save_movies_dataset +from observatoire.tmdb.logger import setup_logger +from observatoire.tmdb.tmdb import get_latest_movie_id, get_movie_data + + +def executor() -> None: + logger = setup_logger() + logger.info("Starting Executor") + + # first, lets get the id of the lastest movies + latest_id = get_latest_movie_id() + + # second, let's get the last movie from our last run + df_current = load_movies_dataset() + current_id = df_current["id"].max() if df_current is not None else None + + # Generate a list of movie IDs + movie_ids_list = list(range(current_id or 1, latest_id)) + total_movies_to_process = len(movie_ids_list) + + logger.info(f"Total Movies to Process in this run: {total_movies_to_process}") + + # Split movie_ids_list into chunks of 100 + batches = [movie_ids_list[i : i + 100] for i in range(0, len(movie_ids_list), 100)] + + with tqdm(total=total_movies_to_process, unit=" movies") as pbar: + for batch in batches: + logger.info(f"Processing batch of {len(batch)} movies") + + with concurrent.futures.ThreadPoolExecutor( + max_workers=int(os.cpu_count() * 0.8), + ) as executor: + futures = [] + movie_json = [] + for movie in batch: + futures.append( + executor.submit(get_movie_data, movie_json, movie, logger, pbar), + ) + + for future in concurrent.futures.as_completed(futures): + with contextlib.suppress(Exception): + _ = future.result() + + # merge today's data with the old dataset + try: + # Load and format the json data + df_latest = transform_movie_json(movie_json) + + df_merged = merge(df_current, df_latest, logger) + + # Update the movies dataset on the Hugging Face Hub + logger.info("Will update dataset on Hugging Face Hub") + save_movies_dataset(df_merged) + + except Exception as error: + logger.critical(f"Error when merging dataframes {error}") + return + + # Reload updated dataset + df_current = load_movies_dataset() + + logger.info("Completed Executor") + + +if __name__ == "__main__": + executor() diff --git a/observatoire/tmdb/tmdb.py b/observatoire/tmdb/tmdb.py new file mode 100644 index 0000000..0f92001 --- /dev/null +++ b/observatoire/tmdb/tmdb.py @@ -0,0 +1,123 @@ +import json +import logging +import threading +import time +from http import HTTPStatus + +import requests +from tqdm import tqdm + +from observatoire.tmdb.config import TMDB_API_KEY, TMDB_MAX_RETRIES +from observatoire.tmdb.helpers import parse_keywords + +lock = threading.Lock() +FULL_LOG = False # Mark True to log everything + + +def get_latest_movie_id() -> int: + """ + Get the ID of the latest movie added to the TMDB database. + """ + url = "https://api.themoviedb.org/3/movie/latest" + headers = { + "accept": "application/json", + "Authorization": f"Bearer {TMDB_API_KEY}", + } + + # Retry the request until it succeeds + retries = 0 + while retries < TMDB_MAX_RETRIES: + try: + response = requests.get(url, headers=headers) + break + except Exception: + retries += 1 + time.sleep(5) + + # Extract the ID of the latest movie from the response + response_in_json = json.loads(response.text) + movies_id = int(response_in_json["id"]) + + return movies_id + + +def get_keywords(movie_id: int) -> dict | None: + """ + Gets keywords from TMDB + """ + + url = f"https://api.themoviedb.org/3/movie/{movie_id}/keywords" + + headers = { + "accept": "application/json", + "Authorization": f"Bearer {TMDB_API_KEY}", + } + + response = requests.get(url, headers=headers) + + if response.status_code == HTTPStatus.OK: + return response.text + return None + + +def handler_get_keywords(movie_id: int) -> list[int, str]: + """ + handles getting keywords + """ + + data = get_keywords(movie_id) + + if not data: + return None + + keywords_str = parse_keywords(data) + + return keywords_str + + +def get_movie_data( + movie_json: list[str], + movie_id: int, + logger: logging, + pbar: tqdm, +) -> None: + if FULL_LOG: + logger.info(f"Processing {movie_id}") + + with lock: + pbar.update(1) + + try: + time.sleep(0.2) + url = f"https://api.themoviedb.org/3/movie/{movie_id}?language=fr-FR®ion=FR" + headers = { + "accept": "application/json", + "Authorization": f"Bearer {TMDB_API_KEY}", + } + response = requests.get(url, headers=headers) + + if ( + response.status_code >= HTTPStatus.INTERNAL_SERVER_ERROR + or response.status_code == HTTPStatus.TOO_MANY_REQUESTS + ): + logger.warning( + f"movie {movie_id} - Got {response.status_code} response, retrying...", + ) + time.sleep(1) + + # Process the response if it is successful + if response.status_code == HTTPStatus.OK: + rqst_json = response.json() + + keywords = handler_get_keywords(movie_id) + rqst_json["keywords"] = keywords + movie_json.append(json.dumps(rqst_json)) + + if FULL_LOG: + logger.info(f"movies collected: {len(movie_json)}") + + except Exception: + logger.exception(f"Expection for {movie_id} in process_movie_ids") + + 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+python-dotenv = "^1.0.1" +datasets = "^2.18.0" [tool.poetry.group.dev.dependencies] pre-commit = "^2.20.0" diff --git a/site-observable/docs/index.md b/site-observable/docs/index.md index a37985f..828cf6d 100644 --- a/site-observable/docs/index.md +++ b/site-observable/docs/index.md @@ -15,3 +15,7 @@ de choisir un film ou une série. Merci de votre soutien ! + +**Crédits** + +Ce site utilise TMDB et les API TMDB, mais n'est pas approuvé, certifié ou soutenu par TMDB. diff --git a/tasks.py b/tasks.py index f44ff1e..88a3842 100644 --- a/tasks.py +++ b/tasks.py @@ -1,6 +1,11 @@ from invoke import Context, task +@task +def update_movies_dataset(c: Context) -> None: + c.run("python -m observatoire.tmdb.movies") + + @task def clean_branches(c: Context) -> None: c.run("git branch --merged | grep -v '\\*\\|main' | xargs -n 1 git branch -d")