sij/sijapi
1
1
Fork 0
Code Issues3 Pull requests Projects Releases Packages Wiki Activity Actions

Auto-update: Wed Jun 26 18:40:25 PDT 2024

Browse source
This commit is contained in:
sanj 2024-06-26 18:40:25 -07:00
parent 42abb57d30
commit 0244b9bcb0
4 changed files with 88 additions and 15 deletions

26
sijapi/routers/llm.py
View file

@ -94,6 +94,32 @@ async def query_ollama(usr: str, sys: str = LLM_SYS_MSG, model: str = DEFAULT_LL
else:
L.DEBUG("No choices found in response")
return None
async def query_ollama_multishot(
message_list: List[str],
sys: str = LLM_SYS_MSG,
model: str = DEFAULT_LLM,
max_tokens: int = 200
):
if len(message_list) % 2 == 0:
raise ValueError("message_list must contain an odd number of strings")
messages = [{"role": "system", "content": sys}]
for i in range(0, len(message_list), 2):
messages.append({"role": "user", "content": message_list[i]})
if i + 1 < len(message_list):
messages.append({"role": "assistant", "content": message_list[i+1]})
LLM = Ollama()
response = await LLM.chat(model=model, messages=messages, options={"num_predict": max_tokens})
L.DEBUG(response)
if "message" in response and "content" in response["message"]:
return response["message"]["content"]
else:
L.DEBUG("No content found in response")
return None
def is_vision_request(content):
return False

69
sijapi/routers/note.py
View file

@ -647,8 +647,29 @@ async def banner_endpoint(dt: str, location: str = None, mood: str = None, other
return jpg_path
async def get_note(date_time: datetime):
date_time = await locate.localize_datetime(date_time);
absolute_path, local_path = assemble_journal_path(date_time, filename = "Notes", extension = ".md", no_timestamp = True)
if absolute_path.is_file():
with open(absolute_path, 'r', encoding='utf-8') as file:
content = file.read()
return content if content else None
async def sentiment_analysis(date_time: datetime):
most_recent_note = await get_note(date_time)
most_recent_note = most_recent_note or await get_note(date_time - timedelta(days=1))
if most_recent_note:
sys_msg = "You are a sentiment analysis AI bot. Your task is to analyze text and give a one-word description of the mood it contains, such as 'optimistic', 'pensive', 'nostalgic', 'livid', et cetera."
prompt = f"Provide sentiment analysis of the following notes: {most_recent_note}"
multishot_prompt = ["Provide sentiment analysis of the following notes: I am sad today my girlfriend broke up with me", "lonely", "Provide sentiment analysis of the following notes: Work has been so busy lately it is like there are not enough hours in the day", "hectic", prompt]
analysis = await llm.query_ollama_multishot(multishot_prompt, sys_msg, max_tokens = 10)
return analysis
else:
return ""
async def generate_banner(dt, location: Location = None, forecast: str = None, mood: str = None, other_context: str = None):
L.DEBUG(f"Location: {location}, forecast: {forecast}, mood: {mood}, other_context: {other_context}")
# L.DEBUG(f"Location: {location}, forecast: {forecast}, mood: {mood}, other_context: {other_context}")
date_time = await locate.localize_datetime(dt)
L.DEBUG(f"generate_banner called with date_time: {date_time}")
destination_path, local_path = assemble_journal_path(date_time, filename="Banner", extension=".jpg", no_timestamp = True)
@ -662,12 +683,12 @@ async def generate_banner(dt, location: Location = None, forecast: str = None, m
display_name = "Location: "
if location:
lat, lon = location.latitude, location.longitude
override_location = locate.find_override_locations(lat, lon)
override_location = await locate.find_override_locations(lat, lon)
display_name += f"{override_location}, " if override_location else ""
if location.display_name:
display_name += f"{location.display_name}"
elif:
else:
display_name += f"{location.road}, " if location.road else ""
display_name += f"the {location.neighbourhood} neighbourhood of " if location.neighbourhood else ""
display_name += f"the {location.suburb} suburb of " if location.suburb else ""
@ -676,18 +697,43 @@ async def generate_banner(dt, location: Location = None, forecast: str = None, m
display_name += f"{location.state} " if location.state else ""
display_name += f"{location.country} " if location.country else ""
if display_name == "Location: ":
geocoded_location = await locate.reverse_geocode(lat, lon)
if geocoded_location.display_name or geocoded_location.city or geocoded_location.country:
return await generate_banner(dt, geocoded_location, forecast, mood, other_context)
else:
L.WARN(f"Failed to get a useable location for purposes of generating a banner, but we'll generate one anyway.")
if not forecast:
forecast = "The weather forecast is: " + await update_dn_weather(date_time)
sentiment = await sentiment_analysis(date_time)
mood = sentiment if not mood else mood
mood = f"Mood: {mood}" if mood else ""
other_context = f"Additional information: {other_context}" if other_context else ""
if mood and sentiment: mood = f"Mood: {mood}, {sentiment}"
elif mood and not sentiment: mood = f"Mood: {mood}"
elif sentiment and not mood: mood = f"Mood: {sentiment}"
else: mood = ""
events = await calendar.get_events(date_time, date_time)
formatted_events = []
for event in events:
event_str = event.get('name')
if event.get('location'):
event_str += f" at {event.get('location')}"
formatted_events.append(event_str)
additional_info = ', '.join(formatted_events) if formatted_events else ''
other_context = f"{other_context}, {additional_info}" if other_context else additional_info
other_context = f"Additional information: {other_context}" if other_context else ""
prompt = "Generate an aesthetically appealing banner image for a daily note that helps to visualize the following scene information: "
prompt += "\n".join([display_name, forecast, mood, other_context])
L.DEBUG(f"Prompt: {prompt}")
# sd.workflow(prompt: str, scene: str = None, size: str = None, style: str = "photorealistic", earlyurl: bool = False, destination_path: str = None):
final_path = await sd.workflow(prompt, scene=OBSIDIAN_BANNER_SCENE, size="1080x512", style="romantic", earlyout="local", destination_path=destination_path)
final_path = await sd.workflow(prompt, scene=OBSIDIAN_BANNER_SCENE, size="1080x512", style="romantic", destination_path=destination_path)
if not str(local_path) in str(final_path):
L.INFO(f"Apparent mismatch between local path, {local_path}, and final_path, {final_path}")
@ -705,7 +751,7 @@ async def note_weather_get(
):
try:
date_time = datetime.now() if date == "0" else locate.localize_datetime(date)
date_time = datetime.now() if date == "0" else await locate.localize_datetime(date)
L.DEBUG(f"date: {date} .. date_time: {date_time}")
content = await update_dn_weather(date_time) #, lat, lon)
return JSONResponse(content={"forecast": content}, status_code=200)
@ -735,7 +781,7 @@ async def update_dn_weather(date_time: datetime):
lat = place.latitude
lon = place.longitude
city = locate.find_override_locations(lat, lon)
city = await locate.find_override_locations(lat, lon)
if city:
L.INFO(f"Using override location: {city}")
@ -745,7 +791,7 @@ async def update_dn_weather(date_time: datetime):
L.INFO(f"City in data: {city}")
else:
loc = locate.reverse_geocode(lat, lon)
loc = await locate.reverse_geocode(lat, lon)
L.DEBUG(f"loc: {loc}")
city = loc.name
city = city if city else loc.city
@ -801,7 +847,8 @@ async def update_dn_weather(date_time: datetime):
detailed_forecast = (
f"---\n"
f"date: {date_str}\n"
f"zip: {zip}\n"
f"latitude: {lat}"
f"longitude: {lon}"
f"tags:\n"
f" - weather\n"
f"updated: {now}\n"

6
sijapi/routers/serve.py
View file

@ -33,7 +33,7 @@ from sijapi import (
MAC_UN, MAC_PW, MAC_ID, TS_TAILNET, DATA_DIR, SD_IMAGE_DIR, PUBLIC_KEY, OBSIDIAN_VAULT_DIR
)
from sijapi.utilities import bool_convert, sanitize_filename, assemble_journal_path
from sijapi.routers.locate import localize_datetime
from sijapi.routers import note, locate
serve = APIRouter(tags=["public"])
@ -67,9 +67,9 @@ def is_valid_date(date_str: str) -> bool:
return False
@serve.get("/notes/{file_path:path}")
async def get_file(file_path: str):
async def get_file_endpoint(file_path: str):
try:
date_time = await localize_datetime(file_path);
date_time = await locate.localize_datetime(file_path);
absolute_path, local_path = assemble_journal_path(date_time, no_timestamp = True)
except ValueError as e:
L.DEBUG(f"Unable to parse {file_path} as a date, now trying to use it as a local path")

2
sijapi/routers/weather.py
View file

@ -99,7 +99,7 @@ async def store_weather_to_db(date_time: datetime, weather_data: dict):
# Get location details from weather data if available
longitude = weather_data.get('longitude')
latitude = weather_data.get('latitude')
elevation = locate.get_elevation(latitude, longitude) # 152.4 # default until we add a geocoder that can look up actual elevation; weather_data.get('elevation') # assuming 'elevation' key, replace if different
elevation = await locate.get_elevation(latitude, longitude) # 152.4 # default until we add a geocoder that can look up actual elevation; weather_data.get('elevation') # assuming 'elevation' key, replace if different
location_point = f"POINTZ({longitude} {latitude} {elevation})" if longitude and latitude and elevation else None
# Correct for the datetime objects