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Functioning mqtt ingestion and db write, formating changes, device manager initiated

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This commit is contained in:
Andrej Mickov
2025-10-30 00:32:25 +01:00
parent 0b96c72f45
commit 12d3720421
45 changed files with 2168 additions and 820 deletions
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26
gpt.py
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@@ -7,7 +7,7 @@ from openai import OpenAI
load_dotenv()
client = OpenAI()
REDIS_HOST=os.getenv('REDIS_HOST')
REDIS_HOST = os.getenv("REDIS_HOST")
redis_client = redis.StrictRedis(host=REDIS_HOST, port=6379, db=0)
data = redis_client.get("last5").decode("utf-8")
@@ -17,26 +17,28 @@ def analysis(environment_data):
completion = client.chat.completions.create(
model="gpt-4o-mini",
messages=[
{"role": "system",
"content": "You are an assistant that analyzes environmental data for an office working space and provides "
"concise numerical insights."},
{
"role": "system",
"content": "You are an assistant that analyzes environmental data for an office working space and provides "
"concise numerical insights.",
},
{
"role": "user",
"content": f"Analyze the following environmental data. The goal is maintaining optimal working "
f"conditions in the office and peak working brain. Focus on any outliers or necessary adjustments. The data is as following: {environment_data}."
f"The output should be only the recommendations in numerical form with postitive and negative "
f"numbers and also provide small summary in a sentence or two of the current conditions and "
f"easily computable in json format. Be consistent with the + and - signs and the summary"
}
f"conditions in the office and peak working brain. Focus on any outliers or necessary adjustments. The data is as following: {environment_data}."
f"The output should be only the recommendations in numerical form with postitive and negative "
f"numbers and also provide small summary in a sentence or two of the current conditions and "
f"easily computable in json format. Be consistent with the + and - signs and the summary",
},
],
response_format={"type": "json_object"}
response_format={"type": "json_object"},
)
output = completion.choices[0].message.content
return output
output = analysis(data)
redis_client.set("gpt",json.dumps(output))
redis_client.set("gpt", json.dumps(output))
print(output)