afiqzudinhadi/linkedIn_auto_jobs_applier_with_AI
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fixed names and llm problems

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This commit is contained in:
queukat 2024-09-09 23:44:16 +03:00
parent b554357be9
commit 3f13d9bf1a
4 changed files with 25 additions and 20 deletions
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6
data_folder/config.yaml
View file

@ -1,6 +1,6 @@
remote: [true/false]
experienceLevel:
experience_level:
internship: [true/false]
entry: [true/false]
associate: [true/false]
@ -31,7 +31,7 @@ locations:
- Country1
- Country2
applyOnceAtCompany: [true/false]
apply_once_at_company: [true/false]
distance: 100
@ -39,7 +39,7 @@ company_blacklist:
- Company1
- Company2
titleBlacklist:
title_blacklist:
- word1
- word2

14
data_folder_example/config.yaml
View file

@ -1,6 +1,6 @@
remote: true
experienceLevel:
experience_level:
internship: true
entry: true
associate: true
@ -29,15 +29,21 @@ positions:
locations:
- USA
applyOnceAtCompany: [true/false]
apply_once_at_company: [true/false]
distance: 100
companyBlacklist:
company_blacklist:
- Noir
- Crossover
titleBlacklist:
title_blacklist:
- word1
- word2
job_applicants_threshold:
min_applicants: 0
max_applicants: 100
llm_model_type: openai
llm_model: 'gpt-4o'

4
src/gpt.py
View file

@ -79,7 +79,7 @@ class AIAdapter:
elif llm_model_type == "ollama":
return OllamaModel(api_key, llm_model, llm_api_url)
else:
raise ValueError(f"Unsupported model type: {model_type}")
raise ValueError(f"Unsupported model type: {llm_model_type}")
def invoke(self, prompt: str) -> str:
return self.model.invoke(prompt)
@ -204,7 +204,7 @@ class LoggerChatModel:
while True:
try:
logger.debug("Attempting to call the LLM with messages")
reply = self.llm(messages)
reply = self.llm.invoke(messages)
logger.debug("LLM response received: %s", reply)
parsed_reply = self.parse_llmresult(reply)

21
src/linkedIn_job_manager.py
View file

@ -47,10 +47,10 @@ class LinkedInJobManager:
def set_parameters(self, parameters):
logger.debug("Setting parameters for LinkedInJobManager")
self.company_blacklist = parameters.get('company_blacklist', []) or []
self.title_blacklist = parameters.get('titleBlacklist', []) or []
self.title_blacklist = parameters.get('title_blacklist', []) or []
self.positions = parameters.get('positions', [])
self.locations = parameters.get('locations', [])
self.apply_once_at_company = parameters.get('applyOnceAtCompany', False)
self.apply_once_at_company = parameters.get('apply_once_at_company', False)
self.base_search_url = self.get_base_search_url(parameters)
self.seen_jobs = []
@ -120,8 +120,8 @@ class LinkedInJobManager:
if time_left > 0:
try:
user_input = inputimeout(
prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 10 seconds : ",
timeout=10).strip().lower()
prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 60 seconds : ",
timeout=60).strip().lower()
except TimeoutOccurred:
user_input = '' # No input after timeout
if user_input == 'y':
@ -138,8 +138,8 @@ class LinkedInJobManager:
sleep_time = random.randint(5, 34)
try:
user_input = inputimeout(
prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting. Timeout 10 seconds : ",
timeout=10).strip().lower()
prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting. Timeout 60 seconds : ",
timeout=60).strip().lower()
except TimeoutOccurred:
user_input = '' # No input after timeout
if user_input == 'y':
@ -160,8 +160,8 @@ class LinkedInJobManager:
if time_left > 0:
try:
user_input = inputimeout(
prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 10 seconds : ",
timeout=10).strip().lower()
prompt=f"Sleeping for {time_left} seconds. Press 'y' to skip waiting. Timeout 60 seconds : ",
timeout=60).strip().lower()
except TimeoutOccurred:
user_input = '' # No input after timeout
if user_input == 'y':
@ -179,7 +179,7 @@ class LinkedInJobManager:
try:
user_input = inputimeout(
prompt=f"Sleeping for {sleep_time / 60} minutes. Press 'y' to skip waiting: ",
timeout=10).strip().lower()
timeout=60).strip().lower()
except TimeoutOccurred:
user_input = '' # No input after timeout
if user_input == 'y':
@ -370,7 +370,7 @@ class LinkedInJobManager:
url_parts = []
if parameters['remote']:
url_parts.append("f_CF=f_WRA")
experience_levels = [str(i + 1) for i, (level, v) in enumerate(parameters.get('experienceLevel', {}).items()) if
experience_levels = [str(i + 1) for i, (level, v) in enumerate(parameters.get('experience_level', {}).items()) if
v]
if experience_levels:
url_parts.append(f"f_E={','.join(experience_levels)}")
@ -429,7 +429,6 @@ class LinkedInJobManager:
link_seen = link in self.seen_jobs
is_blacklisted = title_blacklisted or company_blacklisted or link_seen
logger.debug("Job blacklisted status: %s", is_blacklisted)
return is_blacklisted
return title_blacklisted or company_blacklisted or link_seen