I tried with another file,While converting to EDI 837 I to XML the below errors arraised. Are these fields are mandatory fields?
I manually passed values to ISA09, ISA10 and ISA13 then I am receiving
Error encountered during parsing. The X12 interchange with id ' ', with sender id ' ', receiver id ' ' had the following errors:
Error: 4 (Field level error) SegmentID: ISA Position in TS: 1 Data
Element ID: ISA09 Position in Segment: 9 Data Value: 8:
Invalid Date
Error: 5 (Field level error) SegmentID: ISA Position in TS: 1 Data
Element ID: ISA10 Position in Segment: 10 Data Value: 9:
Invalid Time
Error: 6 (Field level error) SegmentID: ISA Position in TS: 1 Data
Element ID: ISA13 Position in Segment: 13 Data Value: 6:
Invalid character in data element
ISA09 is YYMMDD formatted.
ISA10 is HHMM formatted.
ISA13 is n8, meaning 8 digits.
ISA is fixed length so numbers must be 0 padded and text space padded.
Have you done the EDI Tutorials for BizTalk?
Related
I setup a constraint that does not constraint the solver in pyomo.
The constraint is the following:
def revenue_positive(model,t):
for t in model.T:
return (model.D[t] * model.P[t]) >= 0
model.positive_revenue = Constraint(model.T, rule=revenue_positive)
while the model parameters are:
model = ConcreteModel()
model.T = Set(doc='quarter of year', initialize=df.index.tolist(), ordered=True)
model.P = Param(model.T, initialize=df['price'].to_dict(), within=Any, doc='Price for each quarter')
model.C = Var(model.T, domain=NonNegativeReals)
model.D = Var(model.T, domain=NonNegativeReals)
income = sum(df.loc[t, 'price'] * model.D[t] for t in model.T)
expenses = sum(df.loc[t, 'price'] * model.C[t] for t in model.T)
profit = income - expenses
model.objective = Objective(expr=profit, sense=maximize)
# Solve the model
solver = SolverFactory('cbc')
solver.solve(model)
df dataframe is:
df time_stamp price Status imbalance Difference Situation ... week month hour_of_day day_of_week day_of_year yearly_quarter
quarter ...
0 2021-01-01 00:00:00 64.84 Final 16 -3 Deficit ... 00 1 0 4 1 1
1 2021-01-01 00:15:00 13.96 Final 38 2 Surplus ... 00 1 0 4 1 1
2 2021-01-01 00:30:00 12.40 Final 46 1 Surplus ... 00 1 0 4 1 1
3 2021-01-01 00:45:00 7.70 Final 65 14 Surplus ... 00 1 0 4 1 1
4 2021-01-01 01:00:00 64.25 Final 3 -9 Deficit ... 00 1 1 4 1 1
The objective is to constraint the solver not to accept a negative revenue. As such it does not work as the solver passes 6 negative revenue values through. Looking at the indices with negative revenue, it appears the system chooses to sell at a negative price to buy later at a price even "more" negative, so from an optimization standpoint, it is ok. I would like to check the difference in results if we prohibit the solver to do that. Any input is welcome as after many searches on the web, still not the right way to write it correctly.
I did a pprint() of the constraint that returned:
positive_revenue : Size=35040, Index=T, Active=True
UPDATE following new constraint code:
def revenue_positive(model,t):
return model.D[t] * model.P[t] >= 0
model.positive_revenue = Constraint(model.T, rule=revenue_positive)
Return the following error:
ERROR: Rule failed when generating expression for constraint positive_revenue
with index 283: ValueError: Invalid constraint expression. The constraint
expression resolved to a trivial Boolean (True) instead of a Pyomo object.
Please modify your rule to return Constraint.Feasible instead of True.
Error thrown for Constraint 'positive_revenue[283]'
ERROR: Constructing component 'positive_revenue' from data=None failed:
ValueError: Invalid constraint expression. The constraint expression
resolved to a trivial Boolean (True) instead of a Pyomo object. Please
modify your rule to return Constraint.Feasible instead of True.
Error thrown for Constraint 'positive_revenue[283]'
Traceback (most recent call last):
File "/home/olivier/Desktop/Elia - BESS/run_imbalance.py", line 25, in <module>
results_df = optimize_year(df)
File "/home/olivier/Desktop/Elia - BESS/battery_model_imbalance.py", line 122, in optimize_year
model.positive_revenue = Constraint(model.T, rule=revenue_positive)
File "/home/olivier/anaconda3/lib/python3.9/site-packages/pyomo/core/base/block.py", line 542, in __setattr__
self.add_component(name, val)
File "/home/olivier/anaconda3/lib/python3.9/site-packages/pyomo/core/base/block.py", line 1087, in add_component
val.construct(data)
File "/home/olivier/anaconda3/lib/python3.9/site-packages/pyomo/core/base/constraint.py", line 781, in construct
self._setitem_when_not_present(
File "/home/olivier/anaconda3/lib/python3.9/site-packages/pyomo/core/base/indexed_component.py", line 778, in _setitem_when_not_present
obj.set_value(value)
File "/home/olivier/anaconda3/lib/python3.9/site-packages/pyomo/core/base/constraint.py", line 506, in set_value
raise ValueError(
ValueError: Invalid constraint expression. The constraint expression resolved to a trivial Boolean (True) instead of a Pyomo object. Please modify your rule to return Constraint.Feasible instead of True.
Error thrown for Constraint 'positive_revenue[283]'
So there are 2 issues w/ your constraint. It isn't clear if one is a cut & paste issue or not.
The function call to make the constraint appears to be indented and inside of your function after the return statement, making it unreachable code. Could be just the spacing in your post.
You are incorrectly adding a loop inside of your function. You are passing in the parameter t as a function argument and then you are blowing it away with the for loop, which only executes for the first value of t in T then hits the return statement. Remove the loop. When you use the rule= structure in pyomo it will call the rule for each instance of the set that you are using in the Constraint(xx, rule=) structure.
So I think you should have:
def revenue_positive(model, t):
return model.D[t] * model.P[t] >= 0
model.positive_revenue = Constraint(model.T, rule=revenue_positive)
Updated re: the error you added.
The error cites the 283rd index. My bet is that price[283] is zero, so you are multiplying by a zero and killing your variable.
You could add a check within the function that checks if the price is zero, and in that case, just return pyo.Constraint.Feasible, which is the trivial return that doesn't influence the model (or crash)
I am trying to make a program to prompt a user for input until they enter a number within a specific range.
What is the best approach to make sure the code does not error out when I enter a letter, a symbol, or a number outside of the specified range?
In alternative to parse, you can use tryparse:
tryparse(type, str; base)
Like parse, but returns either a value of the requested type, or
nothing if the string does not contain a valid number.
The advantage over parse is that you can have a cleaner error handling without resorting to try/catch, which would hide all exceptions raised within the block.
For example you can do:
while true
print("Please enter a whole number between 1 and 5: ")
input = readline(stdin)
value = tryparse(Int, input)
if value !== nothing && 1 <= value <= 5
println("You entered $(input)")
break
else
#warn "Enter a whole number between 1 and 5"
end
end
Sample run:
Please enter a whole number between 1 and 5: 42
┌ Warning: Enter a whole number between 1 and 5
└ # Main myscript.jl:9
Please enter a whole number between 1 and 5: abcde
┌ Warning: Enter a whole number between 1 and 5
└ # Main myscript.jl:9
Please enter a whole number between 1 and 5: 3
You entered 3
This is one possible way to achieve this sort of thing:
while true
print("Please enter a whole number between 1 and 5: ")
input = readline(stdin)
try
if parse(Int, input) <= 5 || parse(Int, input) >= 1
print("You entered $(input)")
break
end
catch
#warn "Enter a whole number between 1 and 5"
end
end
Sample Run:
Please enter a whole number between 1 and 5: 2
You entered 2
See this link for how to parse the user input into an int.
I can only give you picture of data I'm working with or the character that creates my problems in .csv file. I don't know how to get that character.
This pillar character is stopping fread working. Is there away to escape it? readr read_csv works through them with no problem. I have tried to drop, make it character column, use comment.char = "", but nothing seems to work.
Here what I'm hoping to get out (what I get out with read_csv)
# A tibble: 5 x 4
X1 trade date trade_condition
<dbl> <dbl> <date> <chr>
1 2902 28.3 2019-01-14 -12------P----
2 2903 28.0 2019-01-14 P
3 2904 28.0 2019-01-14 P
4 2905 28.0 2019-01-14 P
5 2906 28.1 2019-01-14 P
I'm using data.table_1.12.0
Here is Verbose = T
omp_get_max_threads() = 8
omp_get_thread_limit() = 2147483647
DTthreads = 0
RestoreAfterFork = true
Input contains no \n. Taking this to be a filename to open
[01] Check arguments
Using 8 threads (omp_get_max_threads()=8, nth=8)
NAstrings = [<<NA>>]
None of the NAstrings look like numbers.
show progress = 1
0/1 column will be read as integer
[02] Opening the file
Opening file C:/Users/Markku/Desktop/KONECRANES_2019.01.14/trades.csv
File opened, size = 592KB (606768 bytes).
Memory mapped ok
[03] Detect and skip BOM
[04] Arrange mmap to be \0 terminated
\n has been found in the input and different lines can end with different line endings (e.g. mixed \n and \r\n in one file). This is common and ideal.
[05] Skipping initial rows if needed
Positioned on line 1 starting: <<,trade,date,trade_condition,sy>>
[06] Detect separator, quoting rule, and ncolumns
Detecting sep automatically ...
sep=',' with 100 lines of 9 fields using quote rule 0
Detected 9 columns on line 1. This line is either column names or first data row. Line starts as: <<,trade,date,trade_condition,sy>>
Quote rule picked = 0
fill=false and the most number of columns found is 9
[07] Detect column types, good nrow estimate and whether first row is column names
Number of sampling jump points = 10 because (606767 bytes from row 1 to eof) / (2 * 27623 jump0size) == 10
Type codes (jump 000) : 57AAAA5AA Quote rule 0
A line with too-few fields (4/9) was found on line 4 of sample jump 7. Most likely this jump landed awkwardly so type bumps here will be skipped.
A line with too-few fields (4/9) was found on line 13 of sample jump 9. Most likely this jump landed awkwardly so type bumps here will be skipped.
Type codes (jump 010) : 57AAAA5AA Quote rule 0
'header' determined to be true due to column 2 containing a string on row 1 and a lower type (float64) in the rest of the 858 sample rows
=====
Sampled 858 rows (handled \n inside quoted fields) at 11 jump points
Bytes from first data row on line 2 to the end of last row: 606683
Line length: mean=213.01 sd=86.78 min=59 max=372
Estimated number of rows: 606683 / 213.01 = 2849
Initial alloc = 5698 rows (2849 + 100%) using bytes/max(mean-2*sd,min) clamped between [1.1*estn, 2.0*estn]
=====
[08] Assign column names
[09] Apply user overrides on column types
After 0 type and 0 drop user overrides : 57AAAA5AA
[10] Allocate memory for the datatable
Allocating 9 column slots (9 - 0 dropped) with 5698 rows
[11] Read the data
jumps=[0..1), chunk_size=606683, total_size=606683
Restarting team from jump 0. nSwept==0 quoteRule==1
jumps=[0..1), chunk_size=606683, total_size=606683
Restarting team from jump 0. nSwept==0 quoteRule==2
jumps=[0..1), chunk_size=606683, total_size=606683
Restarting team from jump 0. nSwept==0 quoteRule==3
jumps=[0..1), chunk_size=606683, total_size=606683
Read 2903 rows x 9 columns from 592KB (606768 bytes) file in 00:00.014 wall clock time
[12] Finalizing the datatable
Type counts:
2 : int32 '5'
1 : float64 '7'
6 : string 'A'
=============================
0.003s ( 21%) Memory map 0.001GB file
0.007s ( 50%) sep=',' ncol=9 and header detection
0.000s ( 0%) Column type detection using 858 sample rows
0.000s ( 0%) Allocation of 5698 rows x 9 cols (0.000GB) of which 2903 ( 51%) rows used
0.004s ( 29%) Reading 1 chunks (0 swept) of 0.579MB (each chunk 2903 rows) using 1 threads
+ 0.000s ( 0%) Parse to row-major thread buffers (grown 0 times)
+ 0.002s ( 14%) Transpose
+ 0.002s ( 14%) Waiting
0.000s ( 0%) Rereading 0 columns due to out-of-sample type exceptions
0.014s Total
Warning message:
In fread(trades_file, verbose = T) :
Stopped early on line 2905. Expected 9 fields but found 4. Consider fill=TRUE and comment.char=. First discarded non-empty line: <<2903,28.04,2019-01-14,"P>>
I'm using PostgresSQL 10 and RPostgreSQL package in R.
I create a new table:
CREATE TABLE people (
id integer NOT NULL,
name character varying,
birthdate date,
deathdate date
);
Then attempt to copy the file :
COPY people (id, name, birthdate, deathdate)
FROM '\people.sql'
ENCODING 'UTF-8';
Then get the following error:
Error in postgresqlExecStatement(conn, statement, ...) : RS-DBI
driver: (could not Retrieve the result : ERROR: invalid input syntax
for integer: "1" CONTEXT: COPY people, line 1, column id: "1"
I did wonder if this was an encoding error, so ran and got:
readr::guess_encoding("\people.sql")
# A tibble: 4 x 2
encoding confidence
<chr> <dbl>
1 UTF-8 1.00
2 windows-1252 0.37
3 windows-1254 0.37
4 windows-1250 0.28
I've tried the other, less probable windows encodings, but this do not work either and throws similar issues with line 1, for instance windows-1252 shows ERROR: invalid input syntax for integer: "1"
The first few lines of the file are:
1 50 Cent 1975-07-06 \N
2 A. Michael Baldwin 1963-04-04 \N
and the last two lines :
8396 Zubaida Sahar \N \N
8397 Zuhair Haddad \N \N
\.
Any idea what could be causing this?
Thank you
Thanks to wildplasser in the comments for this one:
1 - Remove the Byte Order Mark - I used Notepad++ and convert to UTF-8 (see this post)
2 - Completely removed the erroneous end of file marker which was
\.
I want to validate the text within a textbox using a regular expression.
The text should be a number greater than 0 and less than and equal to 1000.
"^[1-9][0-9]*{1,2}$" is the regex you are looking for.
if(Regex.IsMatch(YourTextBox.Text,"^[1-9][0-9]*{1,2}$"))
{
//Write your logic here
}
Try this regex:
//for 0 < x < 1000
^((?<=[1-9])0|[1-9]){1,3}$
explain:
(?<=[1-9])0 //look behind to see if there is digits (1-9)
test:
0 -> invalid
000 -> invalid
45 -> valid
5 -> valid 'Ashwin Singh' solution can not capture this
101 -> valid
999 -> valid
1000 -> invalid
12345 -> invalid
10000 -> invalid
2558 -> invalid
205 -> valid
1001 -> invalid
2000 -> invalid
And better way convert to Decimal (if you dont use regular expression validator):
Decimal dc = Decimal.TryParse(textBox.Text);
if( dc > 0 && dc < 1000)
// do some thing
I found it:
^([1-9]|[1-9][0-9]|[1-9][0-9][0-9])$|^(1000)
I test it in range 0~1000