do_load = True
from qdrant_client import QdrantClient
import numpy as np
from bottle import route, run, template, request, debug
# %%
if do_load:
    from lavis.models import load_model_and_preprocess, model_zoo
    import torch
    device = 'cpu'
    model, vis_processors, txt_processors = load_model_and_preprocess("clip_feature_extractor", model_type="ViT-B-16", is_eval=True, device=device)
    model.eval()
    collection_name="nuggets_clip"

# %%
client = QdrantClient(host="localhost", grpc_port=6334, prefer_grpc=True)
# %%
from bottle import route, run, template

@route('/get_text_match')
def get_matches():
    query = request.query.get('query','A large bird eating corn')
#    averaged = request.query.get('averaged',False)
# %%
    max_age = request.query.get('age',5);
# %%
    max_age = 5

    

# %%
    averaged = False
    if isinstance(query, str):
        averaged = bool(averaged)
        
    num_videos = int(request.query.get('num_videos',5))
    print(query, num_videos, averaged)

    if do_load:
        with torch.no_grad():
            text_input = txt_processors['eval'](query)
            sample = {'text_input':text_input}
            vec = model.extract_features( sample)
            vec_search = vec.cpu().numpy().squeeze().tolist()
    else:
        pass



    if averaged:
        col_name=collection_name+'_averaged'
    else:
        col_name = collection_name

    if True:
        for i in range(num_videos, 100, 10):
            results = client.search(collection_name = col_name,
                            query_vector = vec_search, limit=i)
            num_video_got = len(set([x.payload['filepath'] for x in results]))
            if num_video_got >= num_videos:
                break
    else:
        results = client.search(collection_name = col_name,
                                query_vector = vec_search, limit=1)
                
  

    def linux_to_win_path(form):
        form = form.replace('/srv','file://192.168.1.242/thebears/Videos/merged/')
        return form

    def normalize_to_merged(path):
        path = path.replace('/srv/ftp','/mergedfs/ftp')
        path = path.replace('/mnt/archive2/videos/ftp','/mergedfs/ftp')
        return path

    resul = list()
    for x in results:
        pload =dict( x.payload)
        pload['filepath'] = normalize_to_merged(pload['filepath'])
        pload['score'] = x.score
        pload['winpath'] = linux_to_win_path(pload['filepath'])
        resul.append(pload)
        
# %%
    return_this = {'query':query,'num_videos':num_videos,'results':resul}
    return return_this




debug(True)
run(host='0.0.0.0', port=53003)