def overwrite_from_csv(fn, token):
data = data_load(f_n=fn)
for row in data:
d = {}
d["component_type"] = row[6]
if row[7]:
d["related_to_id"] = int(row[7])
else:
d["related_to_id"] = None
print(row[1], row[5], row[6])
fetch_api.updated_sentence(row[1], token, d)
def elephant():
# 一個前の投稿
token_elephant = fetch_api.get_access_token("Elephant", "test")
d = {"title": "publicness", "body": "I think ... "}
fetch_api.create_thread(token_elephant, d)
d = {
"title":
"No.4 should be abolished",
"body":
"Since there is a possibility that the report of the present stage has been conveniently reported by editing,\n does not it change so much even if it is abolished?"
}
fetch_api.create_thread(token_elephant, d)
# 一個前の投稿の色付け
d = {"component_type": "PREMISE", "related_to_id": 4}
fetch_api.updated_sentence(3, token_elephant, d)
# 一個前の投稿の色付け
d = {"component_type": "CLAIM", "related_to_id": None}
fetch_api.updated_sentence(4, token_elephant, d)
def overwrite(token):
updates = [["PREMISE", 33, 32], ["CLAIM", 24, 33], ["PREMISE", 33, 34]]
for update in updates:
d = {"component_type": update[0], "related_to_id": update[1]}
fetch_api.updated_sentence(update[2], token, d)
def otter1_coloed(token):
d = {"component_type": "PREMISE", "related_to_id": 6}
fetch_api.updated_sentence(5, token, d)
d = {"component_type": "CLAIM", "related_to_id": None}
fetch_api.updated_sentence(6, token, d)