Scrape SET Annual Report [LM-232]

[boss-chanon]

Why this PR

Scrape data from SET Annual Report pipeline,

• Download the listed companies in SET can be found here

Changes

• Add pipeline for scrape data from SET Annual Report
• Add pipeline for convert pdf data to jsonl

Related Issues

Close #

Checklist

• PR should be in the Naming convention
• Assign yourself in to Assigneees
• Tag related issues
• Constants name should be ALL_CAPITAL, function name should be snake_case, and class name should be CamelCase
• complex function/algorithm should have Docstring
• 1 PR should not have more than 200 lines changes (Exception for test files). If more than that please open multiple PRs
• At least PR reviewer must come from the task's team (model, eval, data)

[linear]

LM-232 Scrape SET Annual Report

Rationale: We would like to use SET Annual Report to train the model

Original source format: PDF

Step by Step

1. Download the listed companies in SET can be found here
2. Check the link to scrape the News and download by listed companies
   1. Example link here
   2. Download in section of แบบแสดงรายการข้อมูลประจำปี/รายงานประจำปี
   3. The data should be collected 5 years back (2023-2018)
3. Write a Python script to escape the PDF file(Using BeautifulSoup or any related libraries)
4. Extracting text from PDF to String (Using PyPDF or any related libraries)
5. Convert text into JSONL Structure
6. Pull request into Our Github repository

Reviewer: kwankoravich

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (5fbee96) 64.16% compared to head (5239299) 64.16%.
Report is 1 commits behind head on main.

Additional details and impacted files

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  Coverage   64.16%   64.16%           
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  Files          11       11           
  Lines         427      427           
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  Hits          274      274           
  Misses        153      153           

Flag	Coverage Δ
unittests	64.16% <ø> (ø)

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[kwankoravich]

Approved