Auto Archiver

[![PyPI version](https://badge.fury.io/py/auto-archiver.svg)](https://badge.fury.io/py/auto-archiver) [![Docker Image Version (latest by date)](https://img.shields.io/docker/v/bellingcat/auto-archiver?label=version&logo=docker)](https://hub.docker.com/r/bellingcat/auto-archiver) [![Core Test Status](https://github.com/bellingcat/auto-archiver/workflows/Core%20Tests/badge.svg)](https://github.com/bellingcat/auto-archiver/actions/workflows/tests-core.yaml) [![Download Test Status](https://github.com/bellingcat/auto-archiver/workflows/Download%20Tests/badge.svg)](https://github.com/bellingcat/auto-archiver/actions/workflows/tests-download.yaml) Read the [article about Auto Archiver on bellingcat.com](https://www.bellingcat.com/resources/2022/09/22/preserve-vital-online-content-with-bellingcats-auto-archiver-tool/). Python tool to automatically archive social media posts, videos, and images from a Google Sheets, the console, and more. Uses different archivers depending on the platform, and can save content to local storage, S3 bucket (Digital Ocean Spaces, AWS, ...), and Google Drive. If using Google Sheets as the source for links, it will be updated with information about the archived content. It can be run manually or on an automated basis. ## Installation For full instructions on how to install auto-archiver, view the [Installation Guide](docs/source/installation.md) Quick run using docker: `docker pull bellingcat/auto-archiver && docker run` # Orchestration The archiver work is orchestrated by the following workflow (we call each a **step**): 1. **Feeder** gets the links (from a spreadsheet, from the console, ...) 2. **Archiver** tries to archive the link (twitter, youtube, ...) 3. **Enricher** adds more info to the content (hashes, thumbnails, ...) 4. **Formatter** creates a report from all the archived content (HTML, PDF, ...) 5. **Database** knows what's been archived and also stores the archive result (spreadsheet, CSV, or just the console) To setup an auto-archiver instance create an `orchestration.yaml` which contains the workflow you would like. We advise you put this file into a `secrets/` folder and do not share it with others because it will contain passwords and other secrets. The structure of orchestration file is split into 2 parts: `steps` (what **steps** to use) and `configurations` (how those steps should behave), here's a simplification: ```yaml # orchestration.yaml content steps: feeder: gsheet_feeder archivers: # order matters - youtubedl_archiver enrichers: - thumbnail_enricher formatter: html_formatter storages: - local_storage databases: - gsheet_db configurations: gsheet_feeder: sheet: "your google sheet name" header: 2 # row with header for your sheet # ... configurations for the other steps here ... ``` To see all available `steps` (which archivers, storages, databases, ...) exist check the [example.orchestration.yaml](example.orchestration.yaml). All the `configurations` in the `orchestration.yaml` file (you can name it differently but need to pass it in the `--config FILENAME` argument) can be seen in the console by using the `--help` flag. They can also be overwritten, for example if you are using the `cli_feeder` to archive from the command line and want to provide the URLs you should do: ```bash auto-archiver --config secrets/orchestration.yaml --cli_feeder.urls="url1,url2,url3" ``` Here's the complete workflow that the auto-archiver goes through: ```mermaid graph TD s((start)) --> F(fa:fa-table Feeder) F -->|get and clean URL| D1{fa:fa-database Database} D1 -->|is already archived| e((end)) D1 -->|not yet archived| a(fa:fa-download Archivers) a -->|got media| E(fa:fa-chart-line Enrichers) E --> S[fa:fa-box-archive Storages] E --> Fo(fa:fa-code Formatter) Fo --> S Fo -->|update database| D2(fa:fa-database Database) D2 --> e ``` ## Orchestration checklist Use this to make sure you help making sure you did all the required steps: * [ ] you have a `/secrets` folder with all your configuration files including * [ ] a orchestration file eg: `orchestration.yaml` pointing to the correct location of other files * [ ] (optional if you use GoogleSheets) you have a `service_account.json` (see [how-to](https://gspread.readthedocs.io/en/latest/oauth2.html#for-bots-using-service-account)) * [ ] (optional for telegram) a `anon.session` which appears after the 1st run where you login to telegram * if you use private channels you need to add `channel_invites` and set `join_channels=true` at least once * [ ] (optional for VK) a `vk_config.v2.json` * [ ] (optional for using GoogleDrive storage) `gd-token.json` (see [help script](scripts/create_update_gdrive_oauth_token.py)) * [ ] (optional for instagram) `instaloader.session` file which appears after the 1st run and login in instagram * [ ] (optional for browsertrix) `profile.tar.gz` file #### Example invocations The recommended way to run the auto-archiver is through Docker. The invocations below will run the auto-archiver Docker image using a configuration file that you have specified ```bash # all the configurations come from ./secrets/orchestration.yaml docker run --rm -v $PWD/secrets:/app/secrets -v $PWD/local_archive:/app/local_archive bellingcat/auto-archiver --config secrets/orchestration.yaml # uses the same configurations but for another google docs sheet # with a header on row 2 and with some different column names # notice that columns is a dictionary so you need to pass it as JSON and it will override only the values provided docker run --rm -v $PWD/secrets:/app/secrets -v $PWD/local_archive:/app/local_archive bellingcat/auto-archiver --config secrets/orchestration.yaml --gsheet_feeder.sheet="use it on another sheets doc" --gsheet_feeder.header=2 --gsheet_feeder.columns='{"url": "link"}' # all the configurations come from orchestration.yaml and specifies that s3 files should be private docker run --rm -v $PWD/secrets:/app/secrets -v $PWD/local_archive:/app/local_archive bellingcat/auto-archiver --config secrets/orchestration.yaml --s3_storage.private=1 ``` The auto-archiver can also be run locally, if pre-requisites are correctly configured. Equivalent invocations are below. ```bash # all the configurations come from ./secrets/orchestration.yaml auto-archiver --config secrets/orchestration.yaml # uses the same configurations but for another google docs sheet # with a header on row 2 and with some different column names # notice that columns is a dictionary so you need to pass it as JSON and it will override only the values provided auto-archiver --config secrets/orchestration.yaml --gsheet_feeder.sheet="use it on another sheets doc" --gsheet_feeder.header=2 --gsheet_feeder.columns='{"url": "link"}' # all the configurations come from orchestration.yaml and specifies that s3 files should be private auto-archiver --config secrets/orchestration.yaml --s3_storage.private=1 ``` ### Extra notes on configuration #### Google Drive To use Google Drive storage you need the id of the shared folder in the `config.yaml` file which must be shared with the service account eg `autoarchiverservice@auto-archiver-111111.iam.gserviceaccount.com` and then you can use `--storage=gd` #### Telethon + Instagram with telegram bot The first time you run, you will be prompted to do a authentication with the phone number associated, alternatively you can put your `anon.session` in the root. #### Atlos When integrating with [Atlos](https://atlos.org), you will need to provide an API token in your configuration. You can learn more about Atlos and how to get an API token [here](https://docs.atlos.org/technical/api). You will have to provide this token to the `atlos_feeder`, `atlos_storage`, and `atlos_db` steps in your orchestration file. If you use a custom or self-hosted Atlos instance, you can also specify the `atlos_url` option to point to your custom instance's URL. For example: ```yaml # orchestration.yaml content steps: feeder: atlos_feeder archivers: # order matters - youtubedl_archiver enrichers: - thumbnail_enricher - hash_enricher formatter: html_formatter storages: - atlos_storage databases: - console_db - atlos_db configurations: atlos_feeder: atlos_url: "https://platform.atlos.org" # optional api_token: "...your API token..." atlos_db: atlos_url: "https://platform.atlos.org" # optional api_token: "...your API token..." atlos_storage: atlos_url: "https://platform.atlos.org" # optional api_token: "...your API token..." hash_enricher: algorithm: "SHA-256" ``` ## Running on Google Sheets Feeder (gsheet_feeder) The `--gsheet_feeder.sheet` property is the name of the Google Sheet to check for URLs. This sheet must have been shared with the Google Service account used by `gspread`. This sheet must also have specific columns (case-insensitive) in the `header` as specified in [gsheet_feeder.__manifest__.py](src/auto_archiver/modules/gsheet_feeder/__manifest__.py). The default names of these columns and their purpose is: Inputs: * **Link** *(required)*: the URL of the post to archive * **Destination folder**: custom folder for archived file (regardless of storage) Outputs: * **Archive status** *(required)*: Status of archive operation * **Archive location**: URL of archived post * **Archive date**: Date archived * **Thumbnail**: Embeds a thumbnail for the post in the spreadsheet * **Timestamp**: Timestamp of original post * **Title**: Post title * **Text**: Post text * **Screenshot**: Link to screenshot of post * **Hash**: Hash of archived HTML file (which contains hashes of post media) - for checksums/verification * **Perceptual Hash**: Perceptual hashes of found images - these can be used for de-duplication of content * **WACZ**: Link to a WACZ web archive of post * **ReplayWebpage**: Link to a ReplayWebpage viewer of the WACZ archive For example, this is a spreadsheet configured with all of the columns for the auto archiver and a few URLs to archive. (Note that the column names are not case sensitive.) ![A screenshot of a Google Spreadsheet with column headers defined as above, and several Youtube and Twitter URLs in the "Link" column](docs/demo-before.png) Now the auto archiver can be invoked, with this command in this example: `docker run --rm -v $PWD/secrets:/app/secrets -v $PWD/local_archive:/app/local_archive bellingcat/auto-archiver:dockerize --config secrets/orchestration-global.yaml --gsheet_feeder.sheet "Auto archive test 2023-2"`. Note that the sheet name has been overridden/specified in the command line invocation. When the auto archiver starts running, it updates the "Archive status" column. ![A screenshot of a Google Spreadsheet with column headers defined as above, and several Youtube and Twitter URLs in the "Link" column. The auto archiver has added "archive in progress" to one of the status columns.](docs/demo-progress.png) The links are downloaded and archived, and the spreadsheet is updated to the following: ![A screenshot of a Google Spreadsheet with videos archived and metadata added per the description of the columns above.](docs/demo-after.png) Note that the first row is skipped, as it is assumed to be a header row (`--gsheet_feeder.header=1` and you can change it if you use more rows above). Rows with an empty URL column, or a non-empty archive column are also skipped. All sheets in the document will be checked. The "archive location" link contains the path of the archived file, in local storage, S3, or in Google Drive. ![The archive result for a link in the demo sheet.](docs/demo-archive.png) ---