Summary * I have 3 primary sets of data each stored in a separate Google Cloud Storage bucket * gs://atf-inspection-reports - PDF reports for ATF Violations organized by folders for each state - 41 GB * gs://atf-complete-ffl - JSON summaries for all licensed FFLs - 20 MB * gs://atf-state-ffl - JSON summaries for each FFL with a violation report - 2.7 MB # Data Scraping ### Colab Can you write a tool in python so I can run it from a jupyter notebook like colab? The code should be in an ipynb file that I can easily import into colab. Break the code into cells that make it modular and easy to run repeatably. The goal is to download the PDFs referenced as the "ATF Inspection Report". The tool will need to visit the Gun Store Transparency Project site at https://gunstoretransparency.org/ to download all the ATF Reports (AKA Inspection Reports) listed in all US states into a google cloud bucket? E.g. here's an example for the first 30 inspection reports for state of MA: https://gunstoretransparency.org/?zip%5Bdistance%5D%5Bfrom%5D=50&zip_op=1&state=MA&table-page=1. Store each report in a directory by the state and business name associated with the report with the following structure: ROOT FOLDER/State 2-letter abbreviation/FFL Business Name/. The code must provide inputs for: * Google Cloud Storage bucket name * Which state to download reports from, to include an option to download from all states The code must support the authentication of the google cloud user that has access to bucket. The code should provide a report on the total number of reports by state and FFL business identified, the numbers of successful and failed reports download to the bucket. References * https://colab.research.google.com/drive/1pR_ME4RFhZbBS1-53nU6qMadrH97KTH8#scrollTo=3d3eee8e * https://gemini.google.com/app/3ea05293a8282d0f ### Download ATF Inspection Report PDFs using Gemini CLI Prompts * The goal is to download the PDFs referenced as the "ATF Inspection Report". You'll need to use Playwright to visit the Gun Store Transparency Project site at https://gunstoretransparency.org/ to download all the ATF Reports (AKA Inspection Reports) listed in all US states into a google cloud bucket? E.g. here's an example for the first 30 inspection reports for state of MA: https://gunstoretransparency.org/?zip%5Bdistance%5D%5Bfrom%5D=50&zip_op=1&state=MA&table-page= * Store each report in a directory by the state and business name associated with the report with the following structure: ROOT FOLDER/State 2-letter abbreviation/FFL Business Name/ * site displays a full page modal that needs to be closed by clicking on the X near the top right * It looks like there are timeouts. Maybe back off from hitting the website for a few minutes. * For many states the reports are spread across multiple pages in the table. E.g. for alabama there are a total of 63 total inspection reports, which is listed at the top of the page, that are referenced in 5 different pages that the script must navigate to and download. Can you record the total number of reports for each state and then make sure you paginate your way through each table on the site to download the specified total number of reports for that state. Confirm the count before moving on to the next state. Debugging prompts * It appears that there are still some problems. You can see a full list of successfully   downloaded reports in gs://atf-inspection-reports. Let's use Arizona and Colorado * For some states, It looks like there is a discrepancy between the number of reports downloaded to the google cloud storage bucket and the number of violations listed on the website. I count 99 PDFs for Illinois (IL) in gs://atf-inspection-reports/IL but the Brady website lists 111 inspection reports for Illinois on this page: https://gunstoretransparency.org/?zip%5Bdistance%5D%5Bfrom%5D=50&zip_op=1&state=IL. Investigate and fix this issue if there is a problem. **Goal** To download all ATF Inspection Report PDFs from gunstoretransparency.org for all US states and upload them to a Google Cloud Storage bucket, organized by state and business name. **Prerequisites**    1. **Node.js and npm:** Ensure you have Node.js and npm installed. You can download them from       https://nodejs.org/ (https://nodejs.org/).    2. **Playwright:** The script uses Playwright to control a web browser. Install it and its browser dependencies by running:    1     npm install playwright    2     npx playwright install    3. **Google Cloud SDK:** The script uses the gcloud command-line tool to upload files to Google Cloud Storage. Make sure you have it installed and authenticated.        * Install the Google Cloud SDK from https://cloud.google.com/sdk/docs/install           (https://cloud.google.com/sdk/docs/install).        * Authenticate the gcloud CLI:    1         /Users/seanhorgan/google-cloud-sdk/bin/gcloud auth login  **The Script** The following Node.js script, download_reports.js, automates the process. # Report Summarization Can you create a summary of each business that covers each of their ATF inspection reports as stored in gs://atf-inspection-reports? The summary will be used to create a site for members of the public to learn more about these businesses. The summary must include the following: * A profile of the business, owner information, and address. * Details on the violations, calling out specific ATF policies, e.g. 27 CFR 478.125(e) and laws with references to the statutes. * Dispositions of the inspection, e.g. warning letters, conference, license revocation, renewal denial. * For each inspection report, provide a web accessible link to the PDF stored in google cloud storage. Each summary should be a separate markdown file that is stored along the inspection reports in gs://atf-inspection-reports for the state (e.g. CO) and business. The summary should be no more than a couple of pages. Please create these summaries just for Massachusetts as a test. ## CSV Export Instead of a markdown I should think about a csv that I could throw into a sql db at some point. Create a csv that with the following columns for each FFL covered by https://gunstoretransparency.org/ * Business name * Address: street, city, state, zip * Permit/License number * Number of violations * Final disposition * Summary of violations * List of citations by CFR * Link to the google cloud storage bucket where the reports are stored ## CSV to JSON Convert the most recent FFL source csv (ffl_data_all_20251005_011116.csv) to a json format that can used by a react app to build a discovery experience. The json should be optimized for storage and fast access so minimize duplicative text. Ensure the json is free of errors like unescaped strings. For the json processing, the script to take a parameter to shard the output so that multiple json files are created. The default should be to create a single json output and there should a parameter value that specifies the number of separate files to create. It should be possible to shard by state. The script should communicate progress periodically so that I know that it is working correctly, e.g. print each time a state is complete along with the number of FFL businesses processed for that state, as well as the file name. Don't attempt to load the entire CSV at once as it will cause errors like exceeding the input token count limit. Process each line of the CSV one by one. FFLs stored in the CSV by state alphabetically. Here's an example of the headers: "headers": ["name", "address", "city", "state", "zip", "violationCount", "licenseStatus", "violationSummary", "violationCitations", "reportUrl", "websiteUrl"], "data": [ I've uploaded the FFL business data by state into a folder under data/state-ffls. Please use that as the FFL data for the application. Rewrite the discovery/filtering experience as well as the FFL card experience to use this data. Here's a sample JSON for an FFL: { "Business Name": "A&J Sporting Goods", "Street": "10 Depot St.", "City": "Housatonic", "State": "MA", "Zip": "01236", "Permit/License Number": "", "Number of Violations": 10, "Final Disposition": "Warning Letter", "Summary of Violations": [ "Failure to properly report multiple sales of handguns", "Missing firearm(s)" ], "List of Citations": [ "27 CFR 478.123(a)", "27 CFR 478.123(b)", "27 CFR 478.124(c)(1)", "27 CFR 478.124(c)(3)(i)", "27 CFR 478.124(c)(3)(iii)", "27 CFR 478.124(c)(3)(iv)", "27 CFR 478.124(c)(4)", "27 CFR 478.124(c)(5)", "27 CFR 478.126a", "27 CFR 478.21(a)" ], "GCS Bucket Link": "https://storage.googleapis.com/atf-inspection-reports/MA/A&J Sporting Goods/NYC89815900000003.017.pdf", "Website URL": "https://gunstoretransparency.org/gun-store/aj-sporting-goods" } ## Supplement FFL JSON with maps data Prompt for data processing * I want to create a new script that takes as input a set of json files that contain data on FFLs and includes a designation that the business is closed if it is listed "permanently closed" on it's listing on google maps. Use playwright to access the business using the business name and address. Update the FFL listing in the json with a new key/value pair that states that the business is currently closed, if so. Prompt for app update * The FFL json data now includes a field "Is Closed" which is set to true when the FFL business is permanently closed. * Provide a filter in the FFL discovery page that allows the user to toggle whether to include FFLs that are permanently closed. The default should be to include them. * Include the number of closed versus open FFLs in the listing of FFLs for each state. * For FFLs that are closed, make that clear in the listing page for that FFL. ## Supplement with ATF data Ideas * I could list the licenses for each FFL I currently have in the JSONs, which is just those with violations. Doesn't seem super useful. * I could extend my list of FFLs to include all 67K unique licensee, covering 77K total licenses. A variant of this is to consider 3 distinct elements in state FFL listings page: * Reported violations -- sourced from the ATF reports. This is the P0 data driving the P0 calls to action * Full list of FFLs -- sourced from the ATF list of licensees. This is a large set of data so we'll need to come up with a scalable way of processing and displaying it all while not compromising the reported violations. * "At risk FFLs" -- sourced from a TBD process, e.g. reported by volunteers, integration with other public data. We could come up with some rating scale. ### All ATF Licensees There is a list of all FFLs in the country here: https://www.atf.gov/firearms/listing-federal-firearms-licensees/complete?field_ffl_date_value%5Bvalue%5D%5Byear%5D=2025&ffl_date_month%5Bvalue%5D%5Bmonth%5D=9 This file contains a row for each issued license and many FFL hold a few licenses, e.g. 1, 7, and 8. Range of approaches * Simplest would be to provide a table of all the licensees when a user selects a state with no way to click through to a detailed page. * Next would be to make it possible to view a details page w/o a violation history section...thin but probably easy and a more complete experience. * Finally would be the full integration of violation data and complete FFL listings Prompt for data processing * I want to create a script that generates a new set of JSON files for each state that includes data from 0925-ffl-list-complete.txt. This JSON will cover all licensees for a state using the same format at the violation json, e.g. ffl_data_MA.json. For each licensee I want to include all the two-digit License Types codes. Let's start with MA first to make sure this works. Prompt for app update * I added a JSON for each state in a Google Cloud Storage bucket gs://atf-complete-ffl that includes the following data I want to integrate into the tracer app: * There is a JSON element for each business with a Federal Firearms License and in that element is a multivalued field that * There is a To consider * In addition to a business being Permanently Closed, they may also no longer have a license from the ATF. We could reprocess the violation JSONs to add the active license state. * At some point I should probably merge the JSON files but for now I want to optimize for a good experience for finding FFLs with violations. * It looks like there are individuals with licenses. Here are some examples in MA: * CAKOUNES, ERNEST G * Some individuals also include a business: * CHANSKY, DANIEL" BAKER ARMS * Some business names include surrounding quotes: * "SPECALIZED TURNING, INC" * |**Field**|**Meaning**|**Explanation**| |---|---|---| |**LIC_REGN**|**License Region**|The ATF Region number where the license was issued (e.g., Region 1 for the Western U.S., Region 9 for the Mid-Atlantic/Northeast, etc.).| |**LIC_DIST**|**License District**|The ATF District Office number responsible for the specific area where the licensee is located.| |**LIC_CNTY**|**License County Code**|A three-digit code representing the county within the state where the licensee's premise is located.| |**LIC_TYPE**|**License Type**|A two-digit code that specifies the type of firearms business the license authorizes. Common examples include:| |||- **01:** Dealer in Firearms Other Than Destructive Devices (includes Gunsmiths)| |||- **03:** Collector of Curios and Relics (C&R)| |||- **07:** Manufacturer of Firearms Other Than Destructive Devices| |**LIC_XPRDTE**|**License Expiration Date Code**|A code that represents the expiration date of the license, typically a two-character code where the first character is a number for the year and the second is a letter for the month.| |**LIC_SEQN**|**License Sequence Number**|The sequential number assigned to the specific FFL within the issuing ATF District.| #### Federal Firearms License (FFL) Types |Type|Description| |---|---| |01|Dealer in Firearms Other Than Destructive Devices (Includes Gunsmiths)| |02|Pawnbroker in Firearms Other Than Destructive Devices| |03|Collector of Curios and Relics| |06|Manufacturer of Ammunition for Firearms| |07|Manufacturer of Firearms Other Than Destructive Devices| |08|Importer of Firearms Other Than Destructive Devices| |09|Dealer in Destructive Devices| |10|Manufacturer of Destructive Devices| |11|Importer of Destructive Devices| # Examples of ATF Reports https://gunstoretransparency.org/gun-store/focal-point-technologies # Gemini Deep Research Build a dataset to help combat gun trafficking by enabling users like concerned residents, policy makers, elected officials, and members of firearms industry, identify Federal Firearms License (FFL) dealers that may contribute to the trafficking of firearms and provides tools to take action and reduce illegal gun trafficking. The data needs to support the app user experience and capabilities as defined in the attached PRD. Guidelines * Prioritize looking for data in official public sources like the ATF * Maintain the lineage of all the data that will be used by the app. It should be easy to confirm the source of data. * The output format must be a csv and support updates in the future