insert headers to_source_data

dares_to_source_data.py

 #!/usr/bin/env python3
-# dares-fetcher -- Fetch series from DRESS
-#By Constance de Quatrebarbes <constance.24barbes@jailbreak.paris>
+# dares-fetcher -- Fetch series from DARES
+# By Constance de Quatrebarbes <constance.de.quatrebarbes@cepremap.org>
+# Copyright (C) 2017 Cepremap
+# https://git.nomics.world/dbnomics-fetchers/daess-fetcher
+#
+# This is free software; you can redistribute it and/or modify
+# it under the terms of the GNU Affero General Public License as
+# published by the Free Software Foundation, either version 3 of the
+# License, or (at your option) any later version.
+#
+# This software is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Affero General Public License for more details.
+#
+# You should have received a copy of the GNU Affero General Public License
+# along with this program.  If not, see <http:>www.gnu.org/licenses/>.
+
+
 """DARES Fetcher.
 
 Usage:
@@ -79,13 +96,16 @@ def fetch(dataset):
     doc_list = sidebar.find("ul",  {"class":"docs-joints__liste"}) 
     target_files = []
     for doc in doc_list.findAll("li"):
-        
         ext, title = [n.text for n in doc.findAll("span")[0:2]]
         if ext in ["xls", "xlsx"]:
             raw_url = doc.find('a',{"class":ext}).get("href")
             f_url = os.path.join(ROOT_PROVIDER_URL, raw_url)
             f_name = f_url.split("/")[-1]
-            target_files.append({"f_name":f_name, "f_url":f_url, "f_title": title, "f_ext": ext})
+            target_files.append({
+                                    "f_name":f_name, 
+                                    "f_url":f_url, 
+                                    "f_title": title, 
+                                    "f_ext": ext})
     
     assert len(target_files) == dataset["file_nb"], \
                     "Fetcher Error: url %s should retrieve %i xls docs instead of %i" %(url, dataset["file_nb"], len(target_files))