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using Oxygen
using HTTP
import OstreaCultura as OC
# Load the fasttext embeddings and the fasttext model
tmp_destination = tempname()
# Decompress the fact check data
OC.decompress_csv("data/fc_latest_maxi_compr", tmp_destination)
#####
const (fc_embed, fc) = OC.load_fasttext_embeddings(tmp_destination)
const (nar_embed, nar) = OC.load_fasttext_embeddings("data/expansive_claims_library_expanded_embed_maxi.csv")
@get "/greet" function(req::HTTP.Request)
return "hello world!"
end
## Send a query to the test-index index in the test-namespace namespace
#@get "/query" function(req::HTTP.Request, querytext::String, indexname::String, namespace::String, top_k::Int64=5, include_values::Bool=false)
# OC.query(querytext, indexname, namespace; top_k=top_k, include_values=include_values)
#end
## Send a query to look for matches within an organic dataset
#@get "/queryclaims" function(req::HTTP.Request, claim::String, counterclaim::String, indexname::String, namespace::String, top_k::Int64=5000, include_values::Bool=false)
# OC.query_claims(claim, counterclaim, indexname, namespace; top_k=top_k, include_values=include_values)
#end
## Classify a claim within the misinformation library
#@get "/classify" function(req::HTTP.Request, claim::String, counterclaim::String, indexname::String, namespace::String, top_k::Int64=10, include_values::Bool=false)
# OC.classify_claim(claim, counterclaim, indexname, namespace; top_k=top_k, include_values=include_values)
#end
# Model is really 'namespace' in the OC library
#@get "/search" function(req::HTTP.Request, claim::String, model::String="narratives", top_k::Int64=5)
# # remove % signs from claim, replace with percent
# claim = replace(claim, "%" => "percent")
# OC.search(claim, "oc-hybrid-library-index", model; top_k=top_k, include_values=false)
#end
@get "/fastfactsearch" function(req::HTTP.Request, claim::String, model::String="factchecks", top_k::Int64=5)
# remove % signs from claim, replace with percent
claim = replace(claim, "%" => "percent")
if model == "narratives"
json(OC.fast_topk(nar_embed, nar, claim, top_k))
elseif model == "factchecks"
json(OC.fast_topk(fc_embed, fc, claim, top_k))
else
"Model not found"
end
end
#@get "/searchplot" function(req::HTTP.Request, claim::String, model::String, top_k::Int64=5, include_values::Bool=false)
# OC.searchplot(claim, "oc-hybrid-library-index", model; top_k=top_k, include_values=include_values)
#end
# start the web server
serve(host="0.0.0.0", port=8000) |