Add Model Table Display into Readthedocs (#624)

* Added static page for model viewing and filtering

* Update model json data

* Update model js table

* Add generate model json python file for js table

* Reset filter input when clear filters button is selected

docs/generate_model_js.py

@@ -0,0 +1,101 @@
+import json
+
+
+def get_key_val(part):
+    key_index_start = part.index('[')
+    key_index_end = part.index(']')
+    val_index_start = part.rindex('(')
+    val_index_end = part.rindex(')')
+
+    key = part[key_index_start + 1: key_index_end]
+    val = part[val_index_start + 1: val_index_end]
+
+    return key, val
+
+
+# Read the content from README.md
+with open('../README.md', 'r') as file:
+    content = file.read()
+
+# Extract the relevant information from the content
+models = []
+lines = content.split('\n')
+lines = lines[lines.index('## Models') + 4: lines.index('## Resources') - 2]
+
+headers = []
+headers = lines[0].split('|')[1:-1]
+headers = [header.strip() for header in headers]
+
+for line in lines[2:]:
+    parts = line.split('|')[1:-1]
+    parts = [part.strip() for part in parts]
+    model = dict(zip(headers, parts))
+    models.append(model)
+
+year = None
+
+for model in models:
+    # handle empty years
+    if model["Year"] == "":
+        model["Year"] = year
+    else:
+        year = model["Year"]
+
+    # handle model, docs and paper part
+    name_paper_str = model["Model and Paper"]
+
+    for i, part in enumerate(name_paper_str.split(', ')):
+        key, val = get_key_val(part)
+
+        if i == 0:
+            model["Name"] = key
+            model["Link"] = val
+        else:
+            model[key] = val
+
+    # handle environment part
+
+    env_part = model["Environment"].split(', ')[0]
+
+    search_dict = {
+            "PyTorch": "torch",
+            "TensorFlow": "tensorflow"
+    }
+
+    if "requirements" in env_part:
+        _, requirements_dir = get_key_val(env_part)
+
+        # read requirements file
+        with open(f'../{requirements_dir}', 'r') as file:
+            requirements = file.read()
+
+            for header, package in search_dict.items():
+                model[header] = package in requirements
+    else:
+        for header, _ in search_dict.items():
+            model[header] = False
+
+    # remove non required keys
+    model.pop("Model and Paper")
+    model.pop("Environment")
+
+    # Get package name
+    model_dir = model["Link"]
+
+    with open(f'../{model_dir}/__init__.py', 'r') as file:
+        init_data = file.read()
+
+        package_names = []
+
+        for row in init_data.split('\n'):
+            if "import" in row:
+                package_name = row[row.index("import") + len("import "):]
+                package_names.append(f"cornac.models.{package_name}")
+
+        model["packages"] = package_names
+
+json_str = json.dumps(models, indent=4)
+
+# Write the JSON object to a file
+with open('source/_static/models/data.js', 'w') as file:
+    file.write(f"var data = {json_str};")