def integrated_plot_page1():
page_active = {"integrated_plot": "active"}
session = utils.get_session_json()
if session["integrated_plot_data"] == "DTS":
dts_folder = session["output_dts_folder"]
else:
dts_folder = session["norm_dts_folder"]
df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None)
df = df.replace({np.nan: 0})
dts_data = df.values.tolist()
session["dts_data"] = dts_data
session["completion"] = json.load(
open(os.path.join(dirname, r"temp\completion.json")))["figure"]
depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float")
session["dts_depths"] = depths
timestamps = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"),
"string")
timestamps = utils.convert_timestamps(timestamps, session["tformat"],
tformat_standard,
session["dts_hour_shift"])
session["dts_timestamps"] = timestamps
session["date_min"] = min(timestamps)
session["date_max"] = max(timestamps)
if session["well_geothermal_fullpath"]:
geothermal = utils.read_txt(session["well_geothermal_fullpath"],
"geothermal")
session["geothermal"] = geothermal
else:
session["geothermal"] = [[], []] # fill empty lists
if session["well_inclination_fullpath"]:
inclination = utils.read_txt(session["well_inclination_fullpath"],
"geothermal")
session["inclination"] = inclination
else:
session["inclination"] = [[], []] # fill empty lists
if session["downhole_data_fullpath"]:
pt = utils.read_pt(session["downhole_data_fullpath"])
session["pt"] = pt
else:
session["pt"] = [[], [], []] # fill empty lists
uom = {
"temp_unit": session["temp_unit"],
"pres_unit": session["pres_unit"]
}
return render_template('integrated_plot_plot1.html',
page_active=page_active,
session=session,
uom=uom)
def calc_norm_dts():
session = utils.get_session_json()
geothermal = utils.read_txt(session["well_geothermal_fullpath"],
"geothermal")
dts_folder = session["output_dts_folder"]
df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None)
df = df.replace({np.nan: 0})
dts_data = df.values.tolist()
norm_dts_data = ld.calc_norm_dts(geothermal[1], dts_data)
new_df = pd.DataFrame(norm_dts_data)
new_df.to_csv(os.path.join(session["norm_dts_folder"], "dts.csv"),
index=False,
header=False)
source = os.path.join(session["output_dts_folder"], "depths.txt")
destination = os.path.join(session["norm_dts_folder"], "depths.txt")
shutil.copytree(source, destination, dirs_exist_ok=True)
source = os.path.join(session["output_dts_folder"], "timestamps.txt")
destination = os.path.join(session["norm_dts_folder"], "timestamps.txt")
shutil.copytree(source, destination, dirs_exist_ok=True)
# df.to_csv(os.path.join(session["norm_dts_folder"],"dts.csv"),index=False,header=False)
emit("geothermal_saved")
return "None"
def index():
page_active = {"setup": "active"}
session = utils.get_session_json()
return render_template('index.html',
page_active=page_active,
session=session)
def save_configs(configs):
session = utils.get_session_json()
session["zmin"] = configs["zrange"][0]
session["zmax"] = configs["zrange"][1]
session["colormap"] = configs["colormap"]
utils.save_session_json(session)
emit("saved")
return "None"
def load_data(raw_folder, out_folder):
session = utils.get_session_json()
raw_df = ld.load_data(raw_folder)
data = ld.get_attr_raw_data(raw_df, session["tformat"])
new_df, new_timestamps = ld.dts_fill_gaps(data["timestamps_str"], raw_df,
session["tformat"])
ld.save_loaded_data(out_folder, new_df, new_timestamps, data["depths"])
emit("raw_data_loaded", data)
return "None"
def completion_builder_page():
page_active = {"completion": "active"}
session = utils.get_session_json()
completion_templates = utils.get_completion_templates()
completion = utils.get_completion()
return render_template('completion_builder.html',
page_active=page_active,
session=session,
completion_templates=completion_templates,
completion=completion)
def geothermal_page():
page_active = {"geothermal": "active"}
session = utils.get_session_json()
# completion_templates=utils.get_completion_templates()
# completion=utils.get_completion()
return render_template(
'geothermal.html',
page_active=page_active,
session=session,
# completion_templates=completion_templates,
# completion=completion
)
def load_data_page():
page_active = {"load_data": "active"}
session = utils.get_session_json()
# completion_templates=utils.get_completion_templates()
# completion=utils.get_completion()
return render_template(
'load_data.html',
page_active=page_active,
session=session,
# completion_templates=completion_templates,
# completion=completion
)
def calc_geothermal(start, end):
session = utils.get_session_json()
dts_folder = session["output_dts_folder"]
df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None)
timestamps_str = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"),
"string")
depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float")
data = ld.calc_geothermal(dts_folder, timestamps_str, df, start, end,
session["tformat"], depths)
emit("plot_geothermal", data)
return "None"
def integrated_plot_page1():
page_active = {"integrated_plot": "active"}
session = utils.get_session_json()
dts_folder = session["output_dts_folder"]
df = pd.read_csv(os.path.join(dts_folder, "dts.csv"), header=None)
df = df.replace({np.nan: 0})
dts_data = df.values.tolist()
session["dts_data"] = dts_data
depths = utils.read_txt(os.path.join(dts_folder, "depths.txt"), "float")
session["dts_depths"] = depths
timestamps = utils.read_txt(os.path.join(dts_folder, "timestamps.txt"),
"string")
dhour = -21
timestamps = utils.convert_timestamps(timestamps, "%Y-%m-%dT%H_%M_%S",
"%Y-%m-%d %H:%M:%S", dhour)
session["dts_timestamps"] = timestamps
session["date_min"] = min(timestamps)
session["date_max"] = max(timestamps)
geothermal = utils.read_txt(session["well_geothermal_fullpath"],
"geothermal")
session["geothermal"] = geothermal
inclination = utils.read_txt(session["well_inclination_fullpath"],
"geothermal")
session["inclination"] = inclination
pt = utils.read_pt(session["downhole_data_fullpath"])
session["pt"] = pt
return render_template('integrated_plot_plot1.html',
page_active=page_active,
session=session)