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import psycopg2
import json
from datetime import datetime, timedelta
hostname = "13.201.135.196"
database = "saral_ai"
username = "saral_user"
pwd = "8k$ScgT97y9£>D"
port_id = 5432
conn = None
cur = None
def get_connection():
return psycopg2.connect(
host=hostname,
dbname=database,
user=username,
password=pwd,
port=port_id
)
def check_completeness(cur, name, location, linkedin_url, headline, skills, experience):
is_complete = True
message = "this data is complete"
required_fields = [name, location, linkedin_url]
for field in required_fields:
if field in [None, "", []]:
is_complete = False
message = "missing required fields"
break
cur.execute("SELECT id FROM saral_data WHERE linkedin_url = %s", (linkedin_url,))
existing = cur.fetchone()
if existing:
return False, "this data is duplicate", False
optional_fields = [headline, skills, experience]
for field in optional_fields:
if field in [None, "", []]:
is_complete = False
message = "some optional fields missing"
break
return True, message, is_complete
def data_input(json_data):
insert_script = '''
INSERT INTO saral_data
(name, location, email, linkedin_url, headline, skills, about, experience, profile_pic, is_complete, created_at)
VALUES (%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
'''
with conn.cursor() as cur:
for d in json_data:
name = d.get("fullName")
location = d.get("addressWithCountry")
email = d.get("email")
linkedin_url = d.get("linkedinUrl")
headline = d.get("headline")
profile_pic = d.get("profilePic")
# Safe parsing of skills
skills_raw = d.get("skills", [])
if isinstance(skills_raw, str):
try:
skills_raw = json.loads(skills_raw)
except:
skills_raw = []
skills_list = [s.get("title") for s in skills_raw if isinstance(s, dict)]
skills = json.dumps(skills_list)
# Safe parsing of experiences
experience_raw = d.get("experiences", [])
if isinstance(experience_raw, str):
try:
experience_raw = json.loads(experience_raw)
except:
experience_raw = []
experience = json.dumps(experience_raw)
about = d.get("about")
success, message, is_complete = check_completeness(
cur, name, location, linkedin_url, headline, skills_list, experience_raw
)
print(message)
if not is_complete:
continue
created_at = datetime.now()
cur.execute(
insert_script,
(
name, location, email, linkedin_url, headline,
skills, about, experience, profile_pic, is_complete, created_at
)
)
conn.commit()
def fetch_from_saral_data(serp_data, conn):
if not serp_data or not isinstance(serp_data, dict):
print("⚠️ fetch_from_saral_data: serp_data is None or not a dict")
return [], [] # return empty lists safely
results = []
remaining = []
one_month_ago = datetime.now() - timedelta(days=30)
serp_json = {}
for idx, result in enumerate(serp_data.get("organic_results", []), start=1):
link = result.get("link")
if link and ("linkedin.com/in/" in link or "in.linkedin.com/in/" in link):
clean_link = link.replace("in.linkedin.com", "linkedin.com")
serp_json[idx] = clean_link
# create a fresh cursor
with conn.cursor() as cur:
for link in serp_json.values():
cur.execute("""
SELECT name, location, email, linkedin_url, headline, skills, about, experience, profile_pic, is_complete, created_at
FROM saral_data
WHERE linkedin_url = %s AND created_at >= %s
""", (link, one_month_ago))
row = cur.fetchone()
if row:
results.append({
"fullName": row[0] if row[0] else "Unknown",
"addressWithCountry": row[1] if row[1] else "Unknown",
"email": row[2] if row[2] else "-",
"linkedinUrl": row[3] if row[3] else "-",
"headline": row[4] if row[4] else "-",
"skills": row[5] if row[5] else [],
"about": row[6] if row[6] else "",
"experiences": row[7] if row[7] else [],
"profilePic": row[8] if row[8] else None,
"is_complete": row[9],
"created_at": row[10]
})
else:
remaining.append(link)
return results, remaining
def store_prompt(conn, prompt: str, parsed_json: dict):
job_title = parsed_json.get("job_title")
skills = parsed_json.get("skills", [])
experience = parsed_json.get("experience")
location = parsed_json.get("location", [])
work_preference = parsed_json.get("work_preference")
job_type = parsed_json.get("job_type")
is_indian = parsed_json.get("is_indian")
try:
with conn.cursor() as cur:
cur.execute("""
INSERT INTO saral_prompts
(prompt, job_title, skills, experience, location, work_preference, job_type, created_at,is_indian)
VALUES (%s, %s, %s, %s, %s, %s, %s, %s,%s)
""", (
prompt,
job_title,
json.dumps(skills) if skills else None, # ensure proper type
experience,
location if location else None,
work_preference,
job_type,
datetime.now(),
is_indian
))
conn.commit()
except Exception as e:
print("Error inserting prompt:", e)
conn.rollback()
try:
conn = psycopg2.connect(
host=hostname, dbname=database, user=username, password=pwd, port=port_id
)
cur = conn.cursor()
create_script = """
CREATE TABLE IF NOT EXISTS saral_data (
id SERIAL PRIMARY KEY,
name TEXT,
location TEXT,
email TEXT,
linkedin_url TEXT,
headline TEXT,
skills JSONB,
about TEXT,
experience JSONB,
profile_pic TEXT,
is_complete BOOLEAN,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
"""
# cur.execute(create_script)
conn.commit()
except Exception as error:
print(error)
finally:
# if cur is not None:
# cur.close()
# if conn is not None:
# conn.close()
pass
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