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import re
def make_pairs(lst):
"""from a list of even lenght, make tupple pairs"""
return [(lst[i], lst[i + 1]) for i in range(0, len(lst), 2)]
def serialize_docs(docs):
new_docs = []
for doc in docs:
new_doc = {}
new_doc["page_content"] = doc.page_content
new_doc["metadata"] = doc.metadata
new_docs.append(new_doc)
return new_docs
def parse_output_llm_with_sources(output):
# Split the content into a list of text and "[Doc X]" references
content_parts = re.split(r'\[(Doc\s?\d+(?:,\s?Doc\s?\d+)*)\]', output)
parts = []
for part in content_parts:
if part.startswith("Doc"):
subparts = part.split(",")
subparts = [subpart.lower().replace("doc","").strip() for subpart in subparts]
subparts = [f"""<a href="#doc{subpart}" class="a-doc-ref" target="_self"><span class='doc-ref'><sup>{subpart}</sup></span></a>""" for subpart in subparts]
parts.append("".join(subparts))
else:
parts.append(part)
content_parts = "".join(parts)
return content_parts
def make_html_source(source,i):
meta = source.metadata
# content = source.page_content.split(":",1)[1].strip()
content = source.page_content.strip()
toc_levels = []
for j in range(2):
level = meta[f"toc_level{j}"]
if level != "N/A":
toc_levels.append(level)
else:
break
toc_levels = " > ".join(toc_levels)
if len(toc_levels) > 0:
name = f"<b>{toc_levels}</b><br/>{meta['name']}"
else:
name = meta['name']
score = meta['reranking_score']
if score > 0.8:
color = "score-green"
elif score > 0.4:
color = "score-orange"
else:
color = "score-red"
relevancy_score = f"<p class=relevancy-score>Relevancy score: <span class='{color}'>{score:.1%}</span></p>"
if meta["chunk_type"] == "text":
card = f"""
<div class="card" id="doc{i}">
<div class="card-content">
<h2>Doc {i} - {meta['short_name']} - Page {int(meta['page_number'])}</h2>
<p>{content}</p>
{relevancy_score}
</div>
<div class="card-footer">
<span>{name}</span>
<a href="{meta['url']}#page={int(meta['page_number'])}" target="_blank" class="pdf-link">
<span role="img" aria-label="Open PDF">🔗</span>
</a>
</div>
</div>
"""
else:
if meta["figure_code"] != "N/A":
title = f"{meta['figure_code']} - {meta['short_name']}"
else:
title = f"{meta['short_name']}"
card = f"""
<div class="card card-image">
<div class="card-content">
<h2>Image {i} - {title} - Page {int(meta['page_number'])}</h2>
<p>{content}</p>
<p class='ai-generated'>AI-generated description</p>
{relevancy_score}
</div>
<div class="card-footer">
<span>{name}</span>
<a href="{meta['url']}#page={int(meta['page_number'])}" target="_blank" class="pdf-link">
<span role="img" aria-label="Open PDF">🔗</span>
</a>
</div>
</div>
"""
return card
def make_toolbox(tool_name,description = "",checked = False,elem_id = "toggle"):
if checked:
span = "<span class='checkmark'>✓</span>"
else:
span = "<span class='loader'></span>"
# toolbox = f"""
# <div class="dropdown">
# <label for="{elem_id}" class="dropdown-toggle">
# {span}
# {tool_name}
# <span class="caret"></span>
# </label>
# <input type="checkbox" id="{elem_id}" hidden/>
# <div class="dropdown-content">
# <p>{description}</p>
# </div>
# </div>
# """
toolbox = f"""
<div class="dropdown">
<label for="{elem_id}" class="dropdown-toggle">
{span}
{tool_name}
</label>
</div>
"""
return toolbox
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