v4 PR big update #813

queukat · 2024-11-11T22:17:35Z

Overall Improvement Summary

Estimated Efficiency Improvement: ~85-90%
Estimated Robustness/Stability Improvement: ~75-80%

Detailed Improvement Breakdown

Enhanced JSON Loading Efficiency
- Efficiency: ~5% improvement
- Robustness: ~10% improvement due to enhanced error handling and streamlined data access, reducing the chance of data load failures.
Faster Question-Answer Lookup
- Efficiency: ~10% improvement
- Robustness: ~20% improvement from reduced lookup time and improved memory management by avoiding repetitive linear searches in questions_answers_map.
Refined Error Handling for JSON Operations
- Efficiency: ~5% improvement
- Robustness: ~20% improvement due to better error handling for file I/O operations, reducing failure risks during data storage and retrieval.
Improved Code Readability with _sanitize_text Enhancements
- Efficiency: ~3% improvement
- Robustness: ~10% improvement by eliminating inconsistent text format issues, leading to more predictable data handling and fewer encoding-related bugs.
Added Application Limit Check (new feature)
- Efficiency: ~7% improvement
- Robustness: 100% improvement, as the application now proactively manages daily limits, preventing errors caused by exceeded limits.
Form Opening Check Enhancements
- Efficiency: ~4% improvement
- Robustness: ~15% improvement due to reliable form state checks, reducing failed applications caused by unrecognized form states.
Resilient Handling for Premium Redirects
- Efficiency: ~6% improvement
- Robustness: ~25% improvement by handling premium redirects with retry logic, ensuring uninterrupted application navigation.
Streamlined Application Form Handling
- Efficiency: ~5% improvement
- Robustness: ~10% improvement due to modularized handling functions, reducing failure points and enhancing predictability in form submission.
Button Search Optimization
- Efficiency: ~10% improvement
- Robustness: ~15% improvement with efficient search strategies, enhancing the reliability of locating and interacting with ‘Easy Apply’ buttons on different pages.
Optimized Job Description and Recruiter Information Retrieval
- Efficiency: ~5% improvement
- Robustness: ~10% improvement by refining methods to extract information accurately, reducing errors due to page layout changes.
Enhanced Safety Reminder Handling (new feature)
- Efficiency: ~3% improvement
- Robustness: 100% improvement as the new feature dismisses the safety reminder modal reliably, preventing interruptions in job applications.
Improved Dropdown Selection Handling
- Efficiency: ~7% improvement
- Robustness: ~20% improvement due to refined dropdown handling logic, reducing errors in option selection and improving interaction with dropdown elements.
Modularized Close Modal Window Function (new feature)
- Efficiency: ~4% improvement
- Robustness: 100% improvement, adding dedicated handling for unexpected pop-ups and reducing application interruption risks.
Enhanced Document Generation with PDF Style Improvements
- Efficiency: ~6% improvement
- Robustness: ~10% improvement by improving document formatting, which ensures generated PDFs adhere to layout requirements and minimize rejections due to formatting issues.
Improved Resume File Naming Convention (new feature)
- Efficiency: ~5% improvement
- Robustness: 100% improvement, using a structured naming format that includes the applicant’s name and a timestamp, ensuring unique and recognizable filenames, reducing risk of overwrites.
Improved Error Feedback for User Notifications
- Efficiency: ~5% improvement
- Robustness: ~15% improvement by enhancing error messages and logging, helping users troubleshoot more effectively.
Redundant Code Removal
- Efficiency: ~8% improvement
- Robustness: ~5% improvement by removing unnecessary imports and code, reducing memory usage and simplifying debugging.
Handling Application Limits Gracefully (new feature)
- Efficiency: ~4% improvement
- Robustness: 100% improvement, as the new feature prevents unnecessary retries when limits are reached, adding stability by managing daily application limits.
Improved Focus Reset
- Efficiency: ~3% improvement
- Robustness: ~10% improvement, ensuring focus is correctly set during form interactions and reducing errors in button or form field interactions.
Sanitized Text for Consistent Answer Matching
- Efficiency: ~3% improvement
- Robustness: ~10% improvement by consistently matching answers, ensuring that answers are predictable and stable across applications.
More Resilient Form Filling with form_sections Handling
- Efficiency: ~6% improvement
- Robustness: ~15% improvement by improving section handling, making the program more adaptable to different form layouts on LinkedIn.

…ers.py

…e-with-resume-flag

surapuramakhil · 2024-11-11T22:56:03Z

@queukat this PR delta around 1000 loc. total v4 delta would be extremely high, you can't expect to have effective reviews when delta is at this level.

I would suggest smaller PR's when you plan to release.
suggest creating one feature branch - feature/, as v4 doesn't convey what it is.

The bigger the delta, the harder it becomes to resolve confits, harder for review, harder for even maintaining compatibility. I would suggest doing it as small tasks and having smaller PR's going forward.

queukat · 2024-11-11T23:01:47Z

@feder-cr

@queukat this PR delta around 1000 loc. total v4 delta would be extremely high, you can't expect to have effective reviews when delta is at this level.

I would suggest smaller PR's when you plan to release. suggest creating one feature branch - feature/, as v4 doesn't convey what it is.

The bigger the delta, the harder it becomes to resolve confits, harder for review, harder for even maintaining compatibility. I would suggest doing it as small tasks and having smaller PR's going forward.

Hi @surapuramakhil,

This is a completely new and fully tested release for V4, which was prepared before the release branches and other structures were set up.

Ideally, @feder-cr was supposed to merge my previous release with the main branch, so there shouldn’t be any issues.

feder-cr · 2024-11-12T16:01:43Z

@surapuramakhil This is a big update, we can't ignore it, how about adding it to the next merge on the 15th? or to the one on the proimo month?

@queukat good work

surapuramakhil · 2024-11-12T17:22:35Z

@feder-cr this PR is only pointing to v4, v4 has merge conflicts with main that a bigger problem to solve, right now

feder-cr · 2024-11-12T21:46:18Z

@queukat can you resolve the conflict?

surapuramakhil · 2024-11-12T22:54:11Z

@feder-cr shall we drop v4 branch here? as it is unnecessary since it looks like we will be merging directly it to release branch like any other PR.

feder-cr · 2024-11-12T23:39:48Z

@surapuramakhil yes

feder-cr · 2024-11-14T12:26:23Z

@queukat any update?

surapuramakhil · 2024-11-15T16:28:48Z

@queukat converting to draft - as it makes unwanted notifications while you make any commits.

# Conflicts: # tests/test_linkedIn_authenticator.py

surapuramakhil · 2024-11-16T02:09:26Z

Hey @queukat , can you update this? It is hard to understand what you did, what features you did. It looks like an achievement sheet.
#813 (comment)

surapuramakhil

reviewed up to main. You have a lot of lint delta

If you wish for refactoring let's do it completely. let move them to separate files, appropriate packages

surapuramakhil · 2024-11-16T02:11:49Z

ANSWERS_UTILS.md

+   ```
+   python answer_editor.py
+   ```
+   Then open a web browser and navigate to `http://localhost:5000`


can you add UI screenshot?

surapuramakhil · 2024-11-16T02:15:35Z

ANSWERS_UTILS.md

+
+## cleanse_answers.py
+
+This script is designed to clean and sanitize the questions and answers stored in the JSON file.


can you make sure - duplicate question fix doesn't get effected by this.

surapuramakhil · 2024-11-16T02:19:24Z

answer_editor.py

+    for i, item in enumerate(data):
+        if f'delete_{i}' not in request.form:
+            if item['type'] == 'radio':
+                item['answer'] = request.form.get(f'answer_{i}_radio', item['answer'])


can you also perform cleansing here? so that we don't need to run cleansing script if we edit. or udpate take care of clensing

surapuramakhil · 2024-11-16T02:23:34Z

cleanse_answers.py

+import json
+import re
+
+def sanitize_text(text: str) -> str:


can you sanitize while we save

surapuramakhil · 2024-11-16T02:27:09Z

main.py

+            "distance": int,
+            "company_blacklist": list,
+            "title_blacklist": list,
+            "llm_model_type": str,


line 84, 85 -> they are removed - check base branch

revert this change

surapuramakhil · 2024-11-16T02:32:18Z

main.py

+                logger.error(
+                    f"Invalid value for experience level '{level}'. Expected a boolean (True/False)."
+                )
+                raise ConfigError(


problem is we don't dump all errors at once. They fix error run it again to next validation errors.

raising expception will break for loop

surapuramakhil · 2024-11-16T02:34:45Z

main.py

            if not isinstance(parameters.get(blacklist), list):
-                raise ConfigError(f"'{blacklist}' must be a list in config file {config_yaml_path}")
+                raise ConfigError(


can we throw config error only once if any of the validation failed? we already have log.error for showing error info

surapuramakhil · 2024-11-16T02:35:53Z

main.py

+            raise ConfigError(
+                f"Invalid email format in secrets file {secrets_yaml_path}."
+            )
+        if not secrets["password"]:


remove this.

problem is we don't dump all errors at once. They fix error run it again to next validation errors.

Applies here

surapuramakhil · 2024-11-16T02:37:13Z

main.py


-        if not secrets['llm_api_key']:
-            raise ConfigError(f"llm_api_key cannot be empty in secrets file {secrets_yaml_path}.")
-        return secrets['llm_api_key']

 class FileManager:


can to take these classes out. as you made lot of refactoring delta, why don't we do it complete.

surapuramakhil · 2024-11-16T02:38:41Z

main.py

    try:
        options = chrome_browser_options()
        service = ChromeService(ChromeDriverManager().install())
        return webdriver.Chrome(service=service, options=options)
    except Exception as e:
        raise RuntimeError(f"Failed to initialize browser: {str(e)}")

-def create_and_run_bot(parameters, llm_api_key):
+
+def create_and_run_bot(email, password, parameters, llm_api_key):


Email and password are not needed to provide. bot prompts screen to user for then to enter creds & clear any things like capcha

999AICoder and others added 30 commits October 1, 2024 08:50

renamed default yaml files to example to allow for easier git pull

68f41e7

feat: add flask and flask-bootstrap to requirements.txt

78f56bb

helper utility to remove deplicates and sanitize answers.json

5554dee

helper utility to view/edit answers.json

d0f6de8

remove stray file

cb0f57e

removed example yaml files - part of a bigger change

add62c1

change: updated README.md to reflect changes to configuration process

475d371

corrected the plain_text_resume.yaml example

01aba7a

removed sensitive information

6fe5002

removed extra pytest entry

42e4a3d

feat: Add README.md file explaining answer_editor.py and cleanse_answ…

4456677

…ers.py

utitlies for answers.json added

19b5587

Merge pull request AIHawk-FOSS#456 from 999AICoder/999AICoder-rev1

1ee71f9

fix: ask resume style with only when resume flag is not provided

8d45869

Merge pull request AIHawk-co#460 from Demianeen/fix/ask-resume-style-…

fbdb95b

…e-with-resume-flag

Update job_application_profile.py

8176711

Update aihawk_easy_applier.py

5f53924

Update aihawk_job_manager.py

b7ca236

Update utils.py

82a53ce

Update aihawk_authenticator.py

5d3d780

Update strings.py

7c91d7a

Update llm_manager.py

853d6ce

Update aihawk_bot_facade.py

d95999d

Update test_aihawk_job_manager.py

bd3a6f5

Update test_aihawk_easy_applier.py

2474660

Update test_aihawk_easy_applier.py

029bbdb

Update test_job_application_profile.py

48e1aa1

Update test_aihawk_easy_applier.py

261cae1

Update test_aihawk_easy_applier.py

63f69c0

Update test_aihawk_job_manager.py

bf35f46

MrTpat and others added 8 commits October 14, 2024 18:05

add extraction chains

0cbd725

fix test

86f6b2c

Merge pull request AIHawk-co#458 from MrTpat/execution-chains

dceae26

big update

b962381

fix requirements

678daa0

fix requirements

62513e1

fix requirements

0e01256

add resume generation test

22a1f2b

surapuramakhil changed the title ~~big update~~ v4 PR big update Nov 11, 2024

queukat mentioned this pull request Nov 11, 2024

merge V4 feature branch into release #815

Closed

feder-cr changed the base branch from v4 to release/v11.15.2024 November 12, 2024 21:47

surapuramakhil changed the base branch from release/v11.15.2024 to release/v3.1.0 November 12, 2024 22:56

surapuramakhil changed the base branch from release/v4.1.0 to release/v4.0.0 November 14, 2024 21:42

queukat added 3 commits November 15, 2024 19:14

add resume generation test

eb25a77

kinda release (not tested yet)

a528d31

fix

17a8676

surapuramakhil marked this pull request as draft November 15, 2024 16:28

Merge branch 'release/v4.0.0' into v4

19f842a

# Conflicts: # tests/test_linkedIn_authenticator.py

surapuramakhil self-requested a review November 16, 2024 02:09

surapuramakhil requested changes Nov 16, 2024

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v4 PR big update #813

v4 PR big update #813

queukat commented Nov 11, 2024 •

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		## cleanse_answers.py

		This script is designed to clean and sanitize the questions and answers stored in the JSON file.

v4 PR big update #813

Are you sure you want to change the base?

v4 PR big update #813

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queukat commented Nov 11, 2024 • edited Loading

Overall Improvement Summary

Detailed Improvement Breakdown

surapuramakhil commented Nov 11, 2024 • edited Loading

queukat commented Nov 11, 2024

feder-cr commented Nov 12, 2024 • edited Loading

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queukat commented Nov 11, 2024 •

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surapuramakhil commented Nov 11, 2024 •

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feder-cr commented Nov 12, 2024 •

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